PMID- 31698620
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20200228
LR  - 20200228
IS  - 1551-0018 (Electronic)
IS  - 1547-1063 (Linking)
VI  - 16
IP  - 6
DP  - 2019 Aug 14
TI  - Reliability-based EDM process parameter optimization using kriging model and 
      sequential sampling.
PG  - 7421-7432
LID - 10.3934/mbe.2019371 [doi]
AB  - Electrical discharge machining (EDM) is an effective method to process micro-hole 
      for electrically conductive materials regardless of the hardness. However, the 
      machining accuracy and cost are greatly affected by EDM parameters, which are of 
      slight fluctuations in actual machining process. In view of this, 
      reliability-based design optimization (RBDO) method is introduced to balance the 
      electrode wear and aperture gap when unavoidable uncertainties are considered. 
      Kriging model trained by inherited Latin hypercube design (ILHD) and expected 
      feasibility function with objective function (OEFF) criterion is applied to model 
      the influences of peak current, pulse on time and pulse off time on electrode 
      wear and aperture gap. By calling the Kriging model, the probability and 
      corresponding gradient of aperture gap less than the requirement are calculated 
      using Monte Carlo simulation (MCS) and the EDM process parameters are optimized 
      using sequential approximation programming (SAP) algorithm. Using the optimal EDM 
      parameters to perform verification experiments, the feasibility of proposed 
      method is demonstrated, where smaller electrode wear as low as 174.2 microm is 
      obtained with the reliability satisfaction ( beta=3.02) of aperture gap.
FAU - Jun, Ma
AU  - Jun M
AD  - Henan Key Laboratory of Mechanical Equipment Intelligent Manufacturing, School of 
      Mechanical and Electrical Engineering, Zhengzhou University of Light Industry, 
      Zhengzhou, MO 450002, China.
FAU - Xinyu, Han
AU  - Xinyu H
AD  - Henan Key Laboratory of Mechanical Equipment Intelligent Manufacturing, School of 
      Mechanical and Electrical Engineering, Zhengzhou University of Light Industry, 
      Zhengzhou, MO 450002, China.
FAU - Qian, Xu
AU  - Qian X
AD  - College of Mathematics and Information Science, Zhengzhou University of Light 
      Industry, Zhengzhou, MO 450002, China.
FAU - Shiyou, Chen
AU  - Shiyou C
AD  - China Railway Engineering Equipment Group Co., Ltd, Zhengzhou, MO 450002, China.
FAU - Wenbo, Zhao
AU  - Wenbo Z
AD  - Luoyang TiHot Railway Machinery Manufacturing Co., Ltd, Luoyang, MO 471002, 
      China.
FAU - Xiaoke, Li
AU  - Xiaoke L
AD  - Henan Key Laboratory of Mechanical Equipment Intelligent Manufacturing, School of 
      Mechanical and Electrical Engineering, Zhengzhou University of Light Industry, 
      Zhengzhou, MO 450002, China.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - United States
TA  - Math Biosci Eng
JT  - Mathematical biosciences and engineering : MBE
JID - 101197794
SB  - IM
OTO - NOTNLM
OT  - EDM
OT  - Kriging
OT  - reliability-based design optimization
OT  - sequential sampling
EDAT- 2019/11/09 06:00
MHDA- 2019/11/09 06:01
CRDT- 2019/11/09 06:00
PHST- 2019/11/09 06:00 [entrez]
PHST- 2019/11/09 06:00 [pubmed]
PHST- 2019/11/09 06:01 [medline]
AID - 10.3934/mbe.2019371 [doi]
PST - ppublish
SO  - Math Biosci Eng. 2019 Aug 14;16(6):7421-7432. doi: 10.3934/mbe.2019371.