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논문검색

Multi-objective Optimization of Machined Surface Integrity for Hard Turning Process

초록

영어

Hard turning has characteristics of good processing flexibility and environmental performance. Under certain processing conditions it has more advantages than grinding process. Also, it has become the new process which has broad prospects for development. After process of hard cutting, the integrity of machined surface plays a vital role for performance of the workpiece. In this paper, the integrity of machined surface (surface roughness and the thickness of the plastic deformation) is focused on for hard turning process of die steel Cr12MoV. The multi-objective optimization was adopted. On the basis of revealing the relationship between cutting conditions and surface integrity indicators, combined with response surface methodology (RSM) the correspondence between the surface integrity evaluation and cutting parameters is established. By improved particle swarm algorithm a multi-objective optimization of surface integrity prediction was achieved, and the relative optimal cutting parameters were obtained. The research results of this paper provide the theoretical basis and reference for optimization of the experimental conditions.

목차

Abstract
 1. Introduction
 2. Analysis of Machined Surface Integrity for Hard Cutting Process
 3. Experiment Setting Up
 4. Establishment of Surface Integrity Forecasting Model
 5. Surface Integrity Modeling based on Multi Objective Optimization Algorithm
 6. Conclusions
 Acknowledgements
 References

저자정보

  • Caixu Yue School of Mechanical & Electrical Engineering, Harbin Engineering University, School of Mechanical and Power Engineering, Harbin University of Science and Technology
  • Liquan Wang School of Mechanical & Electrical Engineering, Harbin Engineering University
  • Jun Liu School of Mechanical and Power Engineering, Harbin University of Science and Technology
  • Shengyu Hao School of Mechanical and Power Engineering, Harbin University of Science and Technology

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