The volume variation of multiple chambers of a workpiece is one of the most important factors that can directly influence the performance of the final product. This paper presents a novel systematic approach for online minimizing the volume difference of multiple chambers of a workpiece based on high-definition metrology (HDM). First, the datum of high-density points is transformed by a random sample consensus (RANSAC) algorithm due to its good robustness in fitting. Second, a procedure containing reconstruction of interior curved surfaces of chambers, boundary extraction, and projection is developed to calculate the accurate volumes of the multiple chambers. Third, a model for obtaining an optimized machining parameter for depth of chambers is explored to minimize the volume difference of any two ones of all the chambers. The model is formulated as a multi-objective optimization (MOO) problem, and a new procedure of multi-objective particle swarm optimization (MOPSO) algorithm is developed to solve this problem. Finally, a milling depth is output as the optimal milling parameter for controlling the volume variation of multiple chambers. The results of a case study show that the proposed approach can minimize the volume difference of four combustion chambers of a cylinder head and it can be well applied online in volume variation control of multiple chambers in machining processes.
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August 2017
Research-Article
A Systematic Approach for Online Minimizing Volume Difference of Multiple Chambers in Machining Processes Based on High-Definition Metrology
De-Lin Huang,
De-Lin Huang
State Key Lab of Mechanical System
and Vibration,
Shanghai Jiaotong University,
Shanghai 200240, China;
and Vibration,
Shanghai Jiaotong University,
Shanghai 200240, China;
School of Mechanical Engineering,
Shanghai Jiaotong University,
Shanghai 200240, China
e-mail: cjwanan@sjtu.edu.cn
Shanghai Jiaotong University,
Shanghai 200240, China
e-mail: cjwanan@sjtu.edu.cn
Search for other works by this author on:
Shi-Chang Du,
Shi-Chang Du
State Key Lab of Mechanical System
and Vibration,
Shanghai Jiaotong University,
Shanghai 200240, China;
and Vibration,
Shanghai Jiaotong University,
Shanghai 200240, China;
School of Mechanical Engineering,
Shanghai Jiaotong University,
Shanghai 200240, China
e-mail: lovbin@sjtu.edu.cn
Shanghai Jiaotong University,
Shanghai 200240, China
e-mail: lovbin@sjtu.edu.cn
Search for other works by this author on:
Gui-Long Li,
Gui-Long Li
School of Mechanical Engineering,
Shanghai Jiaotong University,
Shanghai 200240, China
e-mail: lgllg68629315@qq.com
Shanghai Jiaotong University,
Shanghai 200240, China
e-mail: lgllg68629315@qq.com
Search for other works by this author on:
Zhuo-Qi Wu
Zhuo-Qi Wu
School of Mechanical Engineering,
Shanghai Jiaotong University,
Shanghai 200240, China
e-mail: zqwu@sjtu.edu.cn
Shanghai Jiaotong University,
Shanghai 200240, China
e-mail: zqwu@sjtu.edu.cn
Search for other works by this author on:
De-Lin Huang
State Key Lab of Mechanical System
and Vibration,
Shanghai Jiaotong University,
Shanghai 200240, China;
and Vibration,
Shanghai Jiaotong University,
Shanghai 200240, China;
School of Mechanical Engineering,
Shanghai Jiaotong University,
Shanghai 200240, China
e-mail: cjwanan@sjtu.edu.cn
Shanghai Jiaotong University,
Shanghai 200240, China
e-mail: cjwanan@sjtu.edu.cn
Shi-Chang Du
State Key Lab of Mechanical System
and Vibration,
Shanghai Jiaotong University,
Shanghai 200240, China;
and Vibration,
Shanghai Jiaotong University,
Shanghai 200240, China;
School of Mechanical Engineering,
Shanghai Jiaotong University,
Shanghai 200240, China
e-mail: lovbin@sjtu.edu.cn
Shanghai Jiaotong University,
Shanghai 200240, China
e-mail: lovbin@sjtu.edu.cn
Gui-Long Li
School of Mechanical Engineering,
Shanghai Jiaotong University,
Shanghai 200240, China
e-mail: lgllg68629315@qq.com
Shanghai Jiaotong University,
Shanghai 200240, China
e-mail: lgllg68629315@qq.com
Zhuo-Qi Wu
School of Mechanical Engineering,
Shanghai Jiaotong University,
Shanghai 200240, China
e-mail: zqwu@sjtu.edu.cn
Shanghai Jiaotong University,
Shanghai 200240, China
e-mail: zqwu@sjtu.edu.cn
1Corresponding author.
Manuscript received May 31, 2016; final manuscript received January 26, 2017; published online May 8, 2017. Assoc. Editor: Dragan Djurdjanovic.
J. Manuf. Sci. Eng. Aug 2017, 139(8): 081003 (17 pages)
Published Online: May 8, 2017
Article history
Received:
May 31, 2016
Revised:
January 26, 2017
Citation
Huang, D., Du, S., Li, G., and Wu, Z. (May 8, 2017). "A Systematic Approach for Online Minimizing Volume Difference of Multiple Chambers in Machining Processes Based on High-Definition Metrology." ASME. J. Manuf. Sci. Eng. August 2017; 139(8): 081003. https://doi.org/10.1115/1.4035897
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