期刊名称：Electronic Journal of Applied Statistical Analysis
电子版ISSN：2070-5948
出版年度：2016
卷号：9
期号：3
页码：530-539
DOI：10.1285/i20705948v9n3p530
语种：English
出版社：University of Salento
摘要：One of the main challenges for any manufacturer is how to decrease the manufacturing cost without affecting the final quality of the product. One of the major cost factors in machining processes as a main part of manufacturing industry is the tooling cost associated with the High speed machining process. However, high speed hard milling (HSHM) is new advanced machining processes in industry that merges three advanced machining processes: high speed milling, hard milling and dry milling. The aim of this research is to analyses statistically the effect of three main independent factors: cutting speed, feed rate and cutting speed on the tooling cost associated with machining process. To achieve the objective of the research, the experimental work with statistical tools was integrated. The face centered cubic design (FCC) has been used to conduct the experiments to minimize the flank wear rate up to total length of 0.3mm based on the ISO standard to maintain the finishing requirements.
关键词：High speed end milling; statistical analysis; desirability function; optimization; JMP
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