Development of a micro-forming system for micro-punching process of micro-hole arrays in brass foil

Xu, Jie; Guo, Bin; Shan, Debin; Wang, Chunju; Li, Juan; Liu, Yanwu; Qu, Daokui

doi:10.1016/j.jmatprotec.2012.06.020

Cited by 62 publications

(20 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Further, Jie Xu et al [4] developed a micro-forming system for micro-punching process in high production volume. Meanwhile, in bending process, Fujimoto et al [5] treatment of the punch with an ion beam irradiation and diamond-like carbon (DLC) coating.…”

Section: Introductionmentioning

confidence: 99%

Fabrication of punch and die of micro-blanking tool

Mahmudah

Kiswanto

Priadi

2017

IOP Conf. Ser.: Mater. Sci. Eng.

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Fabrication of punch and die of micro-blanking tool

Mahmudah

Kiswanto

Priadi

2017

IOP Conf. Ser.: Mater. Sci. Eng.

View full text Add to dashboard Cite

“…Prescz used piezoelectric, while Arentoft used servo motor. Jie Xu et al [7] develop micro-forming machine with capacity of 8.8 kN and having positional resolution of 0.12 µm. Its maximum operating stroke speed was 1.1 m/s, while minimum speed was 5 µm/s.…”

Section: Introductionmentioning

confidence: 99%

Development and Measurement of 5 kN -Forming Machine

Mahmudah¹

2017

JEMMME

View full text Add to dashboard Cite

show abstract

“…The scattering of the strength of perforated plate (Driscoll, 2014) has been discussed considering the size of holes (Khatam, et al, 2009). Xu et al investigated the correlation between forming speed and size considering the scattering (Xu, et al, 2012). In this paper, a thin acrylic plate and laser processing were adopted as an example.…”

Section: Introductionmentioning

confidence: 99%

Numerical prediction of scattered initial fracture load of perforated thin plate under tension by Monte Carlo FEM simulation with stepwise limited sampling

Akimoto

Takano²

2016

Mechanical Engineering Letters

View full text Add to dashboard Cite

For the probabilistic finite element analysis of structures and materials considering uncertainty parameters, the Monte Carlo (MC) simulation is often used. However, the accuracy to predict the tail distribution of the quantity of interest (QoI) is not always good enough. Therefore, this paper proposes a multi-step MC method focusing on the tail distribution. The first step aims at predicting the expected value of QoI accurately with least number of sampling points. By analyzing the results of sampling points in the first step, a region in the parameter space is determined whose sampling points may result in extreme value in the tail distribution of QoI. The next step employs the sampling points in the above limited region to obtain accurately the tail distribution. The main contribution of this paper is to present the newly developed automated algorithm to determine the above region in parameter space. Its usefulness has been shown in the simulation of tensile test of perforated thin plate considering the scattering of geometrical size of holes due to laser processing. Predicted scattered initial fracture load was compared with experimental results.

show abstract

Development of a micro-forming system for micro-punching process of micro-hole arrays in brass foil

Cited by 62 publications

References 23 publications

Fabrication of punch and die of micro-blanking tool

Fabrication of punch and die of micro-blanking tool

Development and Measurement of 5 kN -Forming Machine

Numerical prediction of scattered initial fracture load of perforated thin plate under tension by Monte Carlo FEM simulation with stepwise limited sampling

Contact Info

Product

Resources

About