Đang chuẩn bị nút TẢI XUỐNG, xin hãy chờ
Tải xuống
The research mainly focused on optimizing the multi responses i.e. tensile strength, impact Strength and elongation while conducting the experiments on Friction Stir Welding process. | Investigations on friction stir welding process to optimize the multi responses using GRA method International Journal of Mechanical Engineering and Technology IJMET Volume 10 Issue 03 March 2019 pp. 341 352 Article ID IJMET_10_03_035 Available online at http www.iaeme.com ijmet issues.asp JType IJMET amp VType 10 amp IType 3 ISSN Print 0976-6340 and ISSN Online 0976-6359 IAEME Publication Scopus Indexed INVESTIGATIONS ON FRICTION STIR WELDING PROCESS TO OPTIMIZE THE MULTI RESPONSES USING GRA METHOD Bazani Shaik Research Scholar Department of Mechanical Engineering JNTUA College of Engineering Ananthapuramu Andhra Pradesh INDIA Dr. G. Harinath Gowd Professor Department of Mechanical Engineering Madanapalle Institute of Technology and Science Madanapalle Andhra Pradesh INDIA Dr. B. Durga Prasad Professor Department of Mechanical Engineering JNTUA College of Engineering Ananthapuramu Andhra Pradesh INDIA ABSTRACT The research mainly focused on optimizing the multi responses i.e. tensile strength impact Strength and elongation while conducting the experiments on Friction Stir Welding process. With the help of trial experiments and based on the literature the following input parameters i.e. tool rotational speed weld speed and tilt angle are identified as the most influencing parameters and are used in the current study. Experiments are carried out using the Taguchi L9 design. Al7075-T651 and Al6082-T651 aluminium alloys are taken as the parent materials. The tool used is Taper threaded tool. This FSW uses no filler metal to join two work pieces. A study has been made while selecting the tool type. Detailed influences are discussed in the paper. The Grey relational analysis method is applied to optimize the output responses. Further plots are drawn between the input process parameters and the output responses. Overall the method finds best in multi-response optimization of FSW process. Key words Aluminium alloys FSW process Multi-Response Optimization Taguchi based .
