Prof. Somkiat Tangjitsitcharoen, Ph.D.
- 8th Floor of Engineering 4 Bldg., Room 802
- +66-2218-6853
- somkiat.ta@eng.chula.ac.th
Overview
Professor Dr. Somkiat Tangjitsitcharoen is currently Head of Advanced Manufacturing and Precision Engineering Research Center at the Industrial Engineering, Chulalongkorn University, Thailand. His research interests include in-process monitoring and optimization of manufacturing processes, micro-machining and micro-assembly, high precision cutting, and intelligent manufacturing system and machine tool.
Education
D.Eng. Mechanical Engineering
Kobe University, Japan, 2004
M.Eng. Industrial Engineering
Chulalongkorn University, Thailand, 1998
B.Eng. Production Engineering
King Mongkut’s Universtiy of Technology Thonburi, Thailand, 1995
Expertise
Manufacturing & Service Systems
Publications
2020
Somkiat Tangjitsitcharoen
vol. 51, Elsevier B.V., 2020, (Cited by: 5; All Open Access, Gold Open Access).
@conference{Tangjitsitcharoen2020222,
title = {Comparison of neural networks and regression analysis to predict in-process straightness in CNC turning},
author = {Somkiat Tangjitsitcharoen},
editor = {Vosniakos G.-C. and Pellicciari M. and Benardos P. and Markopoulos A.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099828471&doi=10.1016%2fj.promfg.2020.10.032&partnerID=40&md5=a0500670568d2a7df01a12d78e05219b},
doi = {10.1016/j.promfg.2020.10.032},
year = {2020},
date = {2020-01-01},
journal = {Procedia Manufacturing},
volume = {51},
pages = {222 – 227},
publisher = {Elsevier B.V.},
abstract = {The objective of this research is to predict the in-process straightness of aluminum (Al 6063) and carbon steel (S45C) by monitoring the in-process cutting forces during CNC turning. The Fast Fourier Transform (FFT) is adopted to prove the relation between cutting force and straightness in frequency domain, which appear the same frequency. The cutting force ratio is proposed and normalized to predict the in-process straightness regardless of the cutting conditions. Firstly, the straightness is calculated by employing the two-layer feed-forward neural networks. The Levenberg-Marquardt backpropagation algorithm is utilized to train the system. Secondly, the multiple regression analysis has been applied to model the in-process prediction of straightness and the cutting force ratio under various cutting conditions with the use of least square method at 95% confidence level. Finally, the experimentally obtained results from the neural networks are compared with the ones obtained from the developed straightness model. It had been proved that the in-process straightness can be well predicted under various cutting conditions by using the trained neural networks. © 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the FAIM 2021.},
note = {Cited by: 5; All Open Access, Gold Open Access},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
The objective of this research is to predict the in-process straightness of aluminum (Al 6063) and carbon steel (S45C) by monitoring the in-process cutting forces during CNC turning. The Fast Fourier Transform (FFT) is adopted to prove the relation between cutting force and straightness in frequency domain, which appear the same frequency. The cutting force ratio is proposed and normalized to predict the in-process straightness regardless of the cutting conditions. Firstly, the straightness is calculated by employing the two-layer feed-forward neural networks. The Levenberg-Marquardt backpropagation algorithm is utilized to train the system. Secondly, the multiple regression analysis has been applied to model the in-process prediction of straightness and the cutting force ratio under various cutting conditions with the use of least square method at 95% confidence level. Finally, the experimentally obtained results from the neural networks are compared with the ones obtained from the developed straightness model. It had been proved that the in-process straightness can be well predicted under various cutting conditions by using the trained neural networks. © 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the FAIM 2021.
Phonlawut Jaturawichanan, Somkiat Tangjitsitcharoen
Head gimbal assembly automated visual inspection by using digital image processing Conference
vol. 784, no. 1, Institute of Physics Publishing, 2020, (Cited by: 0; All Open Access, Gold Open Access).
@conference{Jaturawichanan2020,
title = {Head gimbal assembly automated visual inspection by using digital image processing},
author = {Phonlawut Jaturawichanan and Somkiat Tangjitsitcharoen},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083211184&doi=10.1088%2f1757-899X%2f784%2f1%2f012033&partnerID=40&md5=ab81f9826d560da904f640febfbf5a15},
doi = {10.1088/1757-899X/784/1/012033},
year = {2020},
date = {2020-01-01},
journal = {IOP Conference Series: Materials Science and Engineering},
volume = {784},
number = {1},
publisher = {Institute of Physics Publishing},
abstract = {This paper presented an approach of Digital Image Processing (DIP) and measurement properties of image region for inspecting the part in Head Gimbal Assembly (HGA) process. Current, the inspection process is performed by the skilled employee, which depends on employee experiences. The inspection method proposed by using digital image processing to do an image enhancement in order to detect the abnormalities and defects on part. The measurement properties of image region is proposed to identify the abnormality occurred on HGA part after image enhancement, in production process. This research aimed to develop the algorithm to inspected HGA part by considered the number of pads, convex area value, and eccentricity value. Then used measurement properties of image region to enhance the algorithm for classifying part in production process. This approach has been developed and proved with the real part in HGA production process. It's proved that the algorithm and method proposed can be classified the part in HGA production process. © Published under licence by IOP Publishing Ltd.},
note = {Cited by: 0; All Open Access, Gold Open Access},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
This paper presented an approach of Digital Image Processing (DIP) and measurement properties of image region for inspecting the part in Head Gimbal Assembly (HGA) process. Current, the inspection process is performed by the skilled employee, which depends on employee experiences. The inspection method proposed by using digital image processing to do an image enhancement in order to detect the abnormalities and defects on part. The measurement properties of image region is proposed to identify the abnormality occurred on HGA part after image enhancement, in production process. This research aimed to develop the algorithm to inspected HGA part by considered the number of pads, convex area value, and eccentricity value. Then used measurement properties of image region to enhance the algorithm for classifying part in production process. This approach has been developed and proved with the real part in HGA production process. It’s proved that the algorithm and method proposed can be classified the part in HGA production process. © Published under licence by IOP Publishing Ltd.
Napaphan Sukprasert, Somkiat Tangjitsitcharoen
Development of Delaminate Inspection by Using Sound Sensor and Pattern Recognition Technique Conference
vol. 1487, no. 1, Institute of Physics Publishing, 2020, (Cited by: 0; All Open Access, Gold Open Access).
@conference{Sukprasert2020,
title = {Development of Delaminate Inspection by Using Sound Sensor and Pattern Recognition Technique},
author = {Napaphan Sukprasert and Somkiat Tangjitsitcharoen},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083525494&doi=10.1088%2f1742-6596%2f1487%2f1%2f012036&partnerID=40&md5=5c9f6d3b31f6465373ef8506e038707b},
doi = {10.1088/1742-6596/1487/1/012036},
year = {2020},
date = {2020-01-01},
journal = {Journal of Physics: Conference Series},
volume = {1487},
number = {1},
publisher = {Institute of Physics Publishing},
abstract = {Windsurf manufacturing and inspection process have high influence for product quality. Recently windsurf manufacturer faced high nonconformity cost with delaminate problem. Current inspection process is performed by inspector skill which depends on the experience. The inspection method is proposed by using sound sensor and applying the Fast Fourier Transform to monitor the ranges of laminate and delaminate frequency. The pattern recognition technique is purposed to classify noise frequency in order to identify the laminate windsurf from the delaminate ones. This research investigates the delaminate among the polyvinyl chloride sheet, the biaxial carbon reinforced fabric and the fiber glass reinforced fabric. The area of laminate frequency in frequency domain shows the laminate point has high power spectrum density than the one from the delaminate point. The algorithm to detect the delaminate has been developed and proved by real windsurf. It's proved that the method proposed can be identified the delaminate windsurf. © 2020 IOP Publishing Ltd. All rights reserved.},
note = {Cited by: 0; All Open Access, Gold Open Access},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Windsurf manufacturing and inspection process have high influence for product quality. Recently windsurf manufacturer faced high nonconformity cost with delaminate problem. Current inspection process is performed by inspector skill which depends on the experience. The inspection method is proposed by using sound sensor and applying the Fast Fourier Transform to monitor the ranges of laminate and delaminate frequency. The pattern recognition technique is purposed to classify noise frequency in order to identify the laminate windsurf from the delaminate ones. This research investigates the delaminate among the polyvinyl chloride sheet, the biaxial carbon reinforced fabric and the fiber glass reinforced fabric. The area of laminate frequency in frequency domain shows the laminate point has high power spectrum density than the one from the delaminate point. The algorithm to detect the delaminate has been developed and proved by real windsurf. It’s proved that the method proposed can be identified the delaminate windsurf. © 2020 IOP Publishing Ltd. All rights reserved.
Somkiat Tangjitsitcharoen, Jettanong Klaewsongkram, Angsumalin Senjuntichai, Supranee Buranapraditkun, Sutthinee Thongnop
Development of prototype kit for portable drug allergy testing Conference
vol. 51, Elsevier B.V., 2020, (Cited by: 2; All Open Access, Gold Open Access).
@conference{Tangjitsitcharoen2020975,
title = {Development of prototype kit for portable drug allergy testing},
author = {Somkiat Tangjitsitcharoen and Jettanong Klaewsongkram and Angsumalin Senjuntichai and Supranee Buranapraditkun and Sutthinee Thongnop},
editor = {Vosniakos G.-C. and Pellicciari M. and Benardos P. and Markopoulos A.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099817824&doi=10.1016%2fj.promfg.2020.10.137&partnerID=40&md5=d04cb1664fd61bb9d8993e165fd19327},
doi = {10.1016/j.promfg.2020.10.137},
year = {2020},
date = {2020-01-01},
journal = {Procedia Manufacturing},
volume = {51},
pages = {975 – 980},
publisher = {Elsevier B.V.},
abstract = {The prototype kit for portable drug allergy testing is proposed and developed for easy-to-use in provincial hospitals where the standard equipment for in vitro drug allergy diagnosis is still lacking. The Enzyme-Linked Immunosorbent Spot (ELISpot) technique is adopted for this purpose due to its high sensitivity and specificity to detect cytokine-releasing cells, which is precise and suitable for non-instantaneously allergic tests. A developed prototype for drug allergy testing has been considered in various aspects of the three main designs, comprising of the proposed testing procedure kit, the heat generating system to control temperature, and the prototype structure. All parts and prototype kits are modeled by using 3D printing technology. The electrical circuit system developed and employed in the prototype kit could generate the heat to control the required temperature between 36.5 °C and 37.5 °C, which is the optimum temperature for cull culture. Compared to the standard equipment, our portable prototype kit yielded good diagnostic values (80% sensitivity, 100% specificity, and 90% accuracy), which are satisfactory and acceptable as a practical tool to identify the culprit drugs. © 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the FAIM 2021.},
note = {Cited by: 2; All Open Access, Gold Open Access},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
The prototype kit for portable drug allergy testing is proposed and developed for easy-to-use in provincial hospitals where the standard equipment for in vitro drug allergy diagnosis is still lacking. The Enzyme-Linked Immunosorbent Spot (ELISpot) technique is adopted for this purpose due to its high sensitivity and specificity to detect cytokine-releasing cells, which is precise and suitable for non-instantaneously allergic tests. A developed prototype for drug allergy testing has been considered in various aspects of the three main designs, comprising of the proposed testing procedure kit, the heat generating system to control temperature, and the prototype structure. All parts and prototype kits are modeled by using 3D printing technology. The electrical circuit system developed and employed in the prototype kit could generate the heat to control the required temperature between 36.5 °C and 37.5 °C, which is the optimum temperature for cull culture. Compared to the standard equipment, our portable prototype kit yielded good diagnostic values (80% sensitivity, 100% specificity, and 90% accuracy), which are satisfactory and acceptable as a practical tool to identify the culprit drugs. © 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the FAIM 2021.
2019
Nutrada Khumjeen, Somkiat Tangjitsitcharoen
Application of minimum quantity lubrication for drum high clutch in turning process Journal Article
In: Materials Science Forum, vol. 947 MSF, pp. 160 – 166, 2019, (Cited by: 0).
@article{Khumjeen2019160,
title = {Application of minimum quantity lubrication for drum high clutch in turning process},
author = {Nutrada Khumjeen and Somkiat Tangjitsitcharoen},
editor = {Umemura K.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066259389&doi=10.4028%2fwww.scientific.net%2fMSF.947.160&partnerID=40&md5=d23874dd2634bbb1c43d35026123c202},
doi = {10.4028/www.scientific.net/MSF.947.160},
year = {2019},
date = {2019-01-01},
journal = {Materials Science Forum},
volume = {947 MSF},
pages = {160 – 166},
publisher = {Trans Tech Publications Ltd},
abstract = {The turning Process is the main processes used in automotive parts from more productivity, it requires the cutting velocity and feed rate high. And from those cutting, it causes high temperatures on cutting and a tool life of cutting tools decreased. Therefore using of cutting fluid (Coolant) is one of the commonly used methods to reduce temperatures that occur while cutting, reducing the wear of cutting tool and helps extend the tool life of the cutting tool. However, cutting fluid it's not always a good way, from the high cost and environmental problems issues. Using the MQL technique is one of the alternatives that using more nowadays to solve the above mentioned problems. This research proposed a MQL technique substitution of cutting fluid that using in the current process by applying in order to obtain the proper cutting condition for carbon steel material grade SAPH370 with the carbide cutting tool. The cutting conditions will acceptable from the minimum quantity of lubricant and the maximum of tool life of cutting tool under surface roughness (Ra) is less than 1.2 µm. The proper cutting condition determined at a feed rate of 0.10 mm/rev, a cutting speed of 300 m/min and a flow rate of 5ml/hr. © 2019 Trans Tech Publications, Switzerland.},
note = {Cited by: 0},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The turning Process is the main processes used in automotive parts from more productivity, it requires the cutting velocity and feed rate high. And from those cutting, it causes high temperatures on cutting and a tool life of cutting tools decreased. Therefore using of cutting fluid (Coolant) is one of the commonly used methods to reduce temperatures that occur while cutting, reducing the wear of cutting tool and helps extend the tool life of the cutting tool. However, cutting fluid it’s not always a good way, from the high cost and environmental problems issues. Using the MQL technique is one of the alternatives that using more nowadays to solve the above mentioned problems. This research proposed a MQL technique substitution of cutting fluid that using in the current process by applying in order to obtain the proper cutting condition for carbon steel material grade SAPH370 with the carbide cutting tool. The cutting conditions will acceptable from the minimum quantity of lubricant and the maximum of tool life of cutting tool under surface roughness (Ra) is less than 1.2 µm. The proper cutting condition determined at a feed rate of 0.10 mm/rev, a cutting speed of 300 m/min and a flow rate of 5ml/hr. © 2019 Trans Tech Publications, Switzerland.
Somkiat Tangjitsitcharoen
Association for Computing Machinery, 2019, (Cited by: 0).
@conference{Tangjitsitcharoen2019203,
title = {Hybrid Monitoring of Surface Roughness and Straightness in CNC Turning of Aluminium using Neural Networks Approach},
author = {Somkiat Tangjitsitcharoen},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090234975&doi=10.1145%2f3375959.3375964&partnerID=40&md5=445632aa52daa52e8eae4fe80ab20ce1},
doi = {10.1145/3375959.3375964},
year = {2019},
date = {2019-01-01},
journal = {ACM International Conference Proceeding Series},
pages = {203 – 208},
publisher = {Association for Computing Machinery},
abstract = {The relations of the surface roughness, the straightness and the cutting conditions are investigated to realize an intelligent CNC machine by monitoring the in-process cutting forces during CNC turning of aluminium 6063 with the use of coated carbide tools. The cutting force is proposed to predict the straightness and surface roughness. The Fast Fourier Transform (FFT) is used to prove the relations of them by checking the frequencies of them. The cutting force ratio is proposed and normalized to predict the in-process surface roughness and straightness regardless of the cutting conditions. The surface roughness and the straightness are calculated simultaneously by employing the two-layer feed-forward neural networks with sigmoid hidden and linear output neurons. The neural networks is trained by using the Levenberg-Marquardt back propagation algorithm. It is understood that the surface roughness and the straightness can be estimated well by utilizing the proposed method under various cutting conditions. © 2019 ACM.},
note = {Cited by: 0},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
The relations of the surface roughness, the straightness and the cutting conditions are investigated to realize an intelligent CNC machine by monitoring the in-process cutting forces during CNC turning of aluminium 6063 with the use of coated carbide tools. The cutting force is proposed to predict the straightness and surface roughness. The Fast Fourier Transform (FFT) is used to prove the relations of them by checking the frequencies of them. The cutting force ratio is proposed and normalized to predict the in-process surface roughness and straightness regardless of the cutting conditions. The surface roughness and the straightness are calculated simultaneously by employing the two-layer feed-forward neural networks with sigmoid hidden and linear output neurons. The neural networks is trained by using the Levenberg-Marquardt back propagation algorithm. It is understood that the surface roughness and the straightness can be estimated well by utilizing the proposed method under various cutting conditions. © 2019 ACM.
Somkiat Tangjitsitcharoen, Haruetai Lohasiriwat
Redesign of a continuous passive motion machine for total knee replacement therapy Journal Article
In: Journal of Health Research, vol. 33, no. 2, pp. 106 – 118, 2019, (Cited by: 8; All Open Access, Gold Open Access).
@article{Tangjitsitcharoen2019106,
title = {Redesign of a continuous passive motion machine for total knee replacement therapy},
author = {Somkiat Tangjitsitcharoen and Haruetai Lohasiriwat},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066083374&doi=10.1108%2fJHR-06-2018-0024&partnerID=40&md5=a8ea80240a3dcc9a74ab553b299a11a8},
doi = {10.1108/JHR-06-2018-0024},
year = {2019},
date = {2019-01-01},
journal = {Journal of Health Research},
volume = {33},
number = {2},
pages = {106 – 118},
publisher = {Emerald Publishing},
abstract = {Purpose: After knee replacement surgery, rehabilitation is needed to recover to normal levels of mobility. A continuous passive motion (CPM) machine is usually introduced at this stage to aid rehabilitation. However, the redundant structure and complex mechanism of the existing machine has resulted in irregular use. The purpose of this paper is to redesign the current machine. Design/methodology/approach: The mechanical and electrical systems of the current machine were studied alongside interviews with stakeholders. Problems with the existing machine were identified. Related information was gathered in both the engineering and medical aspects. The redesign concept of the equipment was specified following engineering analyses to develop the final model. Finite element analysis was performed to ensure the appropriate size and dimension of the equipment. The prototype of the redesigned CPM was manufactured in-house. Product testing was conducted with 40 volunteers including experienced therapists, nurses, university students and working-age people. Findings: Compared to the previous machine, the newly designed model was improved in both functioning and manufacturing costs. The redesigned machine is more durable and consists of a less complex structure. Originality/value: The redesigned machine introduces some new features and removes unnecessary functions. As a result, the model costs less and hence, is considered beneficial to the general public. More utilization is expected which could eventually reduce the therapists’ workload at the hospital. This research provides well-defined processes of the product development starting from the users’ requirement analysis to the prototype testing stage. © 2019, Somkiat Tangjitsitcharoen and Haruetai Lohasiriwat.},
note = {Cited by: 8; All Open Access, Gold Open Access},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Purpose: After knee replacement surgery, rehabilitation is needed to recover to normal levels of mobility. A continuous passive motion (CPM) machine is usually introduced at this stage to aid rehabilitation. However, the redundant structure and complex mechanism of the existing machine has resulted in irregular use. The purpose of this paper is to redesign the current machine. Design/methodology/approach: The mechanical and electrical systems of the current machine were studied alongside interviews with stakeholders. Problems with the existing machine were identified. Related information was gathered in both the engineering and medical aspects. The redesign concept of the equipment was specified following engineering analyses to develop the final model. Finite element analysis was performed to ensure the appropriate size and dimension of the equipment. The prototype of the redesigned CPM was manufactured in-house. Product testing was conducted with 40 volunteers including experienced therapists, nurses, university students and working-age people. Findings: Compared to the previous machine, the newly designed model was improved in both functioning and manufacturing costs. The redesigned machine is more durable and consists of a less complex structure. Originality/value: The redesigned machine introduces some new features and removes unnecessary functions. As a result, the model costs less and hence, is considered beneficial to the general public. More utilization is expected which could eventually reduce the therapists’ workload at the hospital. This research provides well-defined processes of the product development starting from the users’ requirement analysis to the prototype testing stage. © 2019, Somkiat Tangjitsitcharoen and Haruetai Lohasiriwat.
2018
Atitaya Chaijareenont, Somkiat Tangjitsitcharoen
Monitoring of Surface Roughness in Aluminium Turning Process Conference
vol. 303, no. 1, Institute of Physics Publishing, 2018, (Cited by: 1; All Open Access, Gold Open Access).
@conference{Chaijareenont2018,
title = {Monitoring of Surface Roughness in Aluminium Turning Process},
author = {Atitaya Chaijareenont and Somkiat Tangjitsitcharoen},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041693299&doi=10.1088%2f1757-899X%2f303%2f1%2f012013&partnerID=40&md5=c41e7b75863b9c4fb3734762f522de52},
doi = {10.1088/1757-899X/303/1/012013},
year = {2018},
date = {2018-01-01},
journal = {IOP Conference Series: Materials Science and Engineering},
volume = {303},
number = {1},
publisher = {Institute of Physics Publishing},
abstract = {As the turning process is one of the most necessary process. The surface roughness has been considered for the quality of workpiece. There are many factors which affect the surface roughness. Hence, the objective of this research is to monitor the relation between the surface roughness and the cutting forces in aluminium turning process with a wide range of cutting conditions. The coated carbide tool and aluminium alloy (Al 6063) are used for this experiment. The cutting parameters are investigated to analyze the effects of them on the surface roughness which are the cutting speed, the feed rate, the tool nose radius and the depth of cut. In the case of this research, the dynamometer is installed in the turret of CNC turning machine to generate a signal while turning. The relation between dynamic cutting forces and the surface roughness profile is examined by applying the Fast Fourier Transform (FFT). The experimentally obtained results showed that the cutting force depends on the cutting condition. The surface roughness can be improved when increasing the cutting speed and the tool nose radius in contrast to the feed rate and the depth of cut. The relation between the cutting parameters and the surface roughness can be explained by the in-process cutting forces. It is understood that the in-process cutting forces are able to predict the surface roughness in the further research. © Published under licence by IOP Publishing Ltd.},
note = {Cited by: 1; All Open Access, Gold Open Access},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
As the turning process is one of the most necessary process. The surface roughness has been considered for the quality of workpiece. There are many factors which affect the surface roughness. Hence, the objective of this research is to monitor the relation between the surface roughness and the cutting forces in aluminium turning process with a wide range of cutting conditions. The coated carbide tool and aluminium alloy (Al 6063) are used for this experiment. The cutting parameters are investigated to analyze the effects of them on the surface roughness which are the cutting speed, the feed rate, the tool nose radius and the depth of cut. In the case of this research, the dynamometer is installed in the turret of CNC turning machine to generate a signal while turning. The relation between dynamic cutting forces and the surface roughness profile is examined by applying the Fast Fourier Transform (FFT). The experimentally obtained results showed that the cutting force depends on the cutting condition. The surface roughness can be improved when increasing the cutting speed and the tool nose radius in contrast to the feed rate and the depth of cut. The relation between the cutting parameters and the surface roughness can be explained by the in-process cutting forces. It is understood that the in-process cutting forces are able to predict the surface roughness in the further research. © Published under licence by IOP Publishing Ltd.
Phathara Chaiyawong, Somkiat Tangjitsitcharoen
A Study of Relation between Tool Wear and Dynamic Cutting Force Ratio in CNC Turning Conference
vol. 389, no. 1, Institute of Physics Publishing, 2018, (Cited by: 2; All Open Access, Gold Open Access).
@conference{Chaiyawong2018,
title = {A Study of Relation between Tool Wear and Dynamic Cutting Force Ratio in CNC Turning},
author = {Phathara Chaiyawong and Somkiat Tangjitsitcharoen},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051400330&doi=10.1088%2f1757-899X%2f389%2f1%2f012008&partnerID=40&md5=485b23b3b56a6515fc2df1c6a67af9a1},
doi = {10.1088/1757-899X/389/1/012008},
year = {2018},
date = {2018-01-01},
journal = {IOP Conference Series: Materials Science and Engineering},
volume = {389},
number = {1},
publisher = {Institute of Physics Publishing},
abstract = {Since tool wear directly affects the manufacturing cost in CNC turning process, the aim of this research is to study the effects of cutting conditions on tool wear and dynamic cutting force ratio. It also describes relation of tool wear and dynamic cutting force ratio. The results of experiment show that cutting speed is the most significantly influential factor followed by feed rate, depth of cut and nose radius respectively. In addition, effect of dynamic cutting force on the tool wear analysis show that trend of the dynamic cutting force is not changed even though the cutting condition is changed. Accordingly, the tool wear can be predicted by using the dynamic cutting force ratio in turning process. © Published under licence by IOP Publishing Ltd.},
note = {Cited by: 2; All Open Access, Gold Open Access},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Since tool wear directly affects the manufacturing cost in CNC turning process, the aim of this research is to study the effects of cutting conditions on tool wear and dynamic cutting force ratio. It also describes relation of tool wear and dynamic cutting force ratio. The results of experiment show that cutting speed is the most significantly influential factor followed by feed rate, depth of cut and nose radius respectively. In addition, effect of dynamic cutting force on the tool wear analysis show that trend of the dynamic cutting force is not changed even though the cutting condition is changed. Accordingly, the tool wear can be predicted by using the dynamic cutting force ratio in turning process. © Published under licence by IOP Publishing Ltd.
Somkiat Tangjitsitcharoen, Deuanphan Chanthana
In-process prediction of roundness based on dynamic cutting forces Journal Article
In: International Journal of Advanced Manufacturing Technology, vol. 94, no. 5-8, pp. 2229 – 2238, 2018, (Cited by: 5).
@article{Tangjitsitcharoen20182229,
title = {In-process prediction of roundness based on dynamic cutting forces},
author = {Somkiat Tangjitsitcharoen and Deuanphan Chanthana},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028824750&doi=10.1007%2fs00170-017-1047-x&partnerID=40&md5=c2e4747c4edcd00ed09e659a60aba21f},
doi = {10.1007/s00170-017-1047-x},
year = {2018},
date = {2018-01-01},
journal = {International Journal of Advanced Manufacturing Technology},
volume = {94},
number = {5-8},
pages = {2229 – 2238},
publisher = {Springer London},
abstract = {This paper describes a development of in-process prediction of roundness from the previous research of the author in CNC turning process. The relations of roundness, dynamic cutting forces, and cutting conditions have been investigated. In order to eliminate the effects of the cutting conditions, the dynamic cutting forces are dimensionless by taking the ratio of the average variations of dynamic radial force to that of the dynamic feed force. The exponential function is employed for the sake to model the in-process prediction of roundness which consists of cutting speeds, feed rates, depths of cut, tool nose radiuses, rake angles, and dynamic cutting force ratio. The experimentally obtained results showed that the better roundness errors can be obtained by increasing the cutting speed, the tool nose radius, and the rake angle. The new cutting tests have been conducted to verify the obtained model. It is understood that the in-process roundness can be predicted well during cutting with the high accuracy by using the proposed method. © 2017, Springer-Verlag London Ltd.},
note = {Cited by: 5},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This paper describes a development of in-process prediction of roundness from the previous research of the author in CNC turning process. The relations of roundness, dynamic cutting forces, and cutting conditions have been investigated. In order to eliminate the effects of the cutting conditions, the dynamic cutting forces are dimensionless by taking the ratio of the average variations of dynamic radial force to that of the dynamic feed force. The exponential function is employed for the sake to model the in-process prediction of roundness which consists of cutting speeds, feed rates, depths of cut, tool nose radiuses, rake angles, and dynamic cutting force ratio. The experimentally obtained results showed that the better roundness errors can be obtained by increasing the cutting speed, the tool nose radius, and the rake angle. The new cutting tests have been conducted to verify the obtained model. It is understood that the in-process roundness can be predicted well during cutting with the high accuracy by using the proposed method. © 2017, Springer-Verlag London Ltd.