Determining best dressing parameters for internal grinding SKD11 steel using EAMR technique
Year: 2024
Type: article
Abstract: The article conducts a research study on the use of Multi-Criteria Decision-Making (MCDM) in the internal grinding process of SKD11 tool steel. The aim is to identify the optimal input process parameters for the dressing process in order to minimize surface roughness (SR) and maximize wheel life (Lw). The EAMR strategy was employed to address the MCDM task, whereas the Entropy method was utilized to determine the weights of the criterion. The experiment also included the analysis of six input process parameters: coarse dressing depth, coarse dressing passes, fine dressing depth, fine dressing passes, non-feeding dressing, and dressing feed rate. The experiment was performed using an L16 orthogonal array and the Taguchi method. The wheel's durability and the roughness of the sample's surface were quantified and recorded for analysis in the MCDM problem. The research findings have identified the optimal dressing solutions for internal cylindrical grinding.).
Authors: Truong Thi Thu Huong, Vu Duong, Le Thi Phuong Thao, Le Xuan Hung
Institutions: Thai Nguyen University of Technology, Duy Tan University
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405481408