Gear Hobbing Process Parameters Optimization Decision Based on AHP and CBR

HomePage >> Journals >> Mechanical Engineering and Design

Mechanical Engineering and Design

Mechanical Engineering and Design is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of mechanical engineering theory and technology application, on the combination of mechanical theory and modern industrial technology. The main focus of the journal is the academic papers and comments of latest mechanical engineering design theory research improvement in the fields of nature science, engin... [More] Mechanical Engineering and Design is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of mechanical engineering theory and technology application, on the combination of mechanical theory and modern industrial technology. The main focus of the journal is the academic papers and comments of latest mechanical engineering design theory research improvement in the fields of nature science, engineering technology, economy and science, report of latest research result, aiming at providing a good communication platform to transfer, share and discuss the theoretical and technical development of mechanical engineering technology theory for professionals, scholars and researchers in this field, reflecting the academic front level, promote academic change and foster the rapid expansion of mechanical manufacture, mechanical technology theory and technology research.

The journal receives manuscripts written in Chinese or English. As for Chinese papers, the following items in English are indispensible parts of the paper: paper title, author(s), author(s)'affiliation(s), abstract and keywords. If this is the first time you contribute an article to the journal, please format your manuscript as per the sample paper and then submit it into the online submission system. Accepted papers will immediately appear online followed by printed hard copies by Ivy Publisher globally. Therefore, the contributions should not be related to secret. The author takes sole responsibility for his views.

ISSN Print:2327-0543

ISSN Online:2327-0624

Email:med@ivypub.org

Website: http://www.ivypub.org/med/

		0
		0

Navigation

News

All articles submitted to this journal are required to be tested by AMLC.

This journal is full-text indexed by CNKI which is the China's most authoritative academic resources database.

This journal is full-text indexed by Open J-Gate.

Paper Infomation

Gear Hobbing Process Parameters Optimization Decision Based on AHP and CBR

Full Text(PDF, 1056KB)

Author: Weidong Cao, Chunping Yan

Abstract: To retrieve previous process cases efficiently, and improve integrated processing effect, this paper proposes gear hobbing process parameters optimization decision based on analytic hierarchy process (AHP) and case-based reasoning (CBR). Gear hobbing process ontology library was conducted by Ontology. Considering the processing quality, processing time, processing costs, resource consumption and environmental impact, Gear hobbing process parameters decisions target space was established by using gear hobbing process ontology library and CBR. AHP was used to get the optimal decision program. The feasibility and effectiveness of the proposed method is validated by experiment.

Keywords: Gear Hobbing; Process Parameters; Optimization Decision; Analytic Hierarchy Process; Case-based Reasoning

References:

[1] Zhijun Han, Kun Zhang, Guojun Yu. Research on Intelligent Generation System of Technological Parameters for Machining Center[J]. Journal Of Tsinghua University(Science And Technology), 1999, 39(2): 30-33.

[2] Jin Cheng, Jianrong Tan, Lili Jin. Multi-objective Intelligent Optimization of Injection Molding Parameters Based on BP-NSGA[J]. Computer Integrated Manufacturing Systems, 2009, 15(10): 1900-1906.

[3] S H Yang, U Natarajan. Multi-objective Optimization of Cutting Parameters in Turning Process Using Differential Evolution and Non-dominated Sorting Genetic Algorithm-II Approaches[J]. International Journal of Advanced Manufacturing Technology, 2010, 49(5-8): 773-784.

[4] Rayegani Farzad, Onwubolu G C. Fused Deposition Modelling (FDM) Process Parameter Prediction and Optimization Using Group Method for Data Handling (GMDH) and Differential Evolution (DE)[J]. International Journal Of Advanced Manufacturing Technology, 2014, 73(1-4): 509-519.

[5] Saini Lalit, Mohan. Peak Load Forecasting Using Bayesian Regularization, Resilient and Adaptive Backpropagation Learning Based Artificial Neural Networks[J]. Electric Power Systems Research, 2008, 78(7): 1302-1310.

[6] Kejun Xiang, Zhanqiang Liu, Xing Ai. Development of High-speed Cutting Database System Based on Hybrid Reasoning[J]. Computer Integrated Manufacturing Systems, 2006, 12(3): 102-109.

[7] Zuntong Wang, Zhanqiang Liu, Xing AI. Case similarity and its application in high-speed machining[J]. Computer Integrated Manufacturing Systems, 2005, 11(5): 122-127.

[8] Hualin Yang, Shuiguang Tong, Rongren Wu. Automation Technology of Injeetion Mold Design Based on Case-based Reasoning[J]. Chinese Journal of Mechanical Engineering, 2008, 44(10): 294-299.

[9] Wenbo Zhu, Aiping Li, Xuemei Liu. Research on Knowledge Representation for Stamping Process Based on Ontology[J]. China Mechanical Engineering, 2006, 17(6): 616-620.

[10] Tichun Wang, Shisheng Zhong. Extensible Scheme Design of Large-Scale Hydraulic Turbine Based on Knowledge Reuse[J]. Journal of Computer-Aided Design & Computer Graphics, 2008, 20(2): 239-245.

[11] Mingshu Zhang, Chunping Qin YAN Bin. High-speed cutting parameters optimization decision based on graph theory and fuzzy TOPSIS[J]. Computer Integrated Manufacturing Systems, 2013, 19(11): 2802-2809.