Journal Article

Research on parallel distributed clustering algorithm applied to cutting parameter optimization

Liu, Xianli, Wei, Xudong, Wang, Lihui, Yue, Caixu, Sun, Qingzhen, Liang, Steven Y.

2022

Overview

In the big data era, traditional data mining technology cannot meet the requirements of massive data processing with the background of intelligent manufacturing. Aiming at insufficient computing power and low efficiency in mining process, this paper proposes a improved K -means clustering algorithm based on the concept of distributed clustering in cloud computing environment. The improved algorithm (T. K -means) is combined with MapReduce computing framework of Hadoop platform to realize parallel computing, so as to perform processing tasks of massive data. In order to verify the practical performance of T. K -means algorithm, taking machining data of milling Ti-6Al-4V alloy as the mining object. The mapping relationship among cutting parameters, surface roughness, and material removal rate is mined, and the optimized value for cutting parameters is obtained. The results show that T. K -means algorithm can be used to mine the optimal cutting parameters, so that the best surface roughness can be obtained in milling Ti-6Al-4V titanium alloy.

• Publisher: Springer London,Springer Nature B.V
• Subject: Algorithms / Aluminum alloys / Big Data / CAE) and Design / Cloud computing / Cluster analysis / Clustering / Computer-Aided Engineering (CAD / Computing power / Cutting parameter optimization / Cutting parameters / Cutting parameters optimizations / Data mining / Data mining technology / Data processing / Distributed clustering / Distributed clustering algorithm / Engineering / Industrial and Production Engineering / Intelligent Manufacturing / Intelligent manufacturing systems / K-means clustering / MapReduce framework / Mapreduce frameworks / Massive data / Material removal rate (machining) / Mechanical Engineering / Media Management / Metadata / Milling (machining) / Optimization / Original Article / Parameter estimation / Surface roughness / T.K-means algorithm / Ternary alloys / Titanium alloys / Titanium base alloys / TK-mean algorithm / Vanadium alloys / Vector quantization