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Micro-texture design criteria for cemented carbide ball-end milling cutters
Shucai Yang,Tianjiao Wang,Wei Ren,Shuai Su 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.1
Given the serious work hardening phenomenon, high chemical activity, severe tool wear, and poor workpiece surface quality during the cutting of titanium alloys, placing micro-texture on the tool surface decreases the tool-chip contact area and friction and plays the role of wear resistance and friction reduction. In order to improve the cutting performance of cutting tools, the present study examins the effect of micro-texture parameters of a cemented carbide ball-end milling cutter on cutting force, tool wear, and workpiece surface roughness and establishes a regression analysis model via regression analysis. We consider the cutting performance of a cemented carbide micro-texture ball-end milling cutter as an evaluation standard. A genetic algorithm is applied to the multi-objective optimization of micro-texture parameters, and a regression analysis model of micro-texture design criteria is established. This provides a standardised reference to select standard micro-texture parameters in the design and preparation of a cemented carbide micro-texture ball-end milling cutter.
Di Duan,Yong Huang,Ying Zou,Bingju He,Ruihui Tang,Liuxia Yang,Zecao Zhang,Shucai Su,Guoping Wang,Deyi Zhang,Chunhui Zhou,Jing Li,Maocheng Deng 한국식품과학회 2021 Food Science and Biotechnology Vol.30 No.10
Analytical method which combines electronictongue technique and chemometrics analysis is developedto discriminate oil types and predict oil quality. All thestudied Camellia oil samples from pressing, n-hexaneextraction and supercritical CO2 extraction (SCCE), weresuccessfully identified by principal component analysis(PCA) and hierarchical cluster analysis (HCA). Furthermore,multi factor linear regression model (MLRM) wasestablished to predict oil quality, which are indicated byacid value (AV) and peroxide value (POV). The practicalpotential of e-tongue for the discrimination and assessmentof Camellia oils has shown promising application in thecharacterization of Camellia oils in the oil qualityevaluation.