Force Modeling of Silicon Monocrystal Wire Saw Machining
Abstract
Wire saw machining is often used to cut hard and brittle materials, especially wafers in the semiconductor and optoelectronics industries. The cutting forces strongly effect part quality. Based on analyzing the forces generated from the chip deformation and friction of a single abrasive, an analytical force model is developed. The model is extended to a wire saw cutting force model and is used to explain the relationship between the cutting force and the part feed rate, wire velocity, and contact length between the wire and part. Silicon (Si) monocrystal machining is used to experimentally validate the proposed model. The results show that when machining Si monocrystal the average errors between the experimental and predicted normal and tangential cutting forces are 10.9% and 18.6%, respectively.
Recommended Citation
S. Li et al., "Force Modeling of Silicon Monocrystal Wire Saw Machining," Proceedings of the 2016 International Symposium on Flexible Automation (2016, Cleveland, OH), pp. 127 - 132, Institute of Electrical and Electronics Engineers (IEEE), Aug 2016.
The definitive version is available at https://doi.org/10.1109/ISFA.2016.7790148
Meeting Name
2016 International Symposium on Flexible Automation, ISFA2016 (2016: Aug. 1-3, Cleveland, OH)
Department(s)
Mechanical and Aerospace Engineering
Keywords and Phrases
Cutting; Monocrystalline silicon; Sawing; Silicon wafers; Wire; Average errors; Chip deformations; Contact length; Cutting forces; Hard and brittle materials; Optoelectronics industry; Tangential cutting force; Wire velocity; Saws
International Standard Book Number (ISBN)
978-1-5090-3467-3
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2016 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Aug 2016
Comments
The authors wish to acknowledge the financial support for this work from the National Natural Science Foundation of China (51175420, 51575442), the Shaanxi Province Education Department (00S1409), and the Intelligent Systems Center at the Missouri University of Science and Technology.