eprintid: 8169
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/81/69
datestamp: 2023-11-09 16:20:02
lastmod: 2023-11-09 16:20:02
status_changed: 2023-11-09 16:11:58
type: article
metadata_visibility: show
creators_name: Qayyum, J.A.
creators_name: Altaf, K.
creators_name: Abdul Rani, A.M.
creators_name: Ahmad, F.
creators_name: Jahanzaib, M.
title: Performance of 3D printed polymer mold for metal injection molding process
ispublished: pub
note: cited By 7
abstract: Metal injection molding (MIM) is preferred choice for mass production of intricate and complex parts. However, machining of intricate and complex mold for low volume of part production could be very time consuming, skill intensive and expensive. For low volume requirement of MIM parts, typically for prototyping, design validation and visual inspection, mold experiences small number of MIM cycles and once demand is met, mold is rendered useless. Contrary to traditional machining, polymer molds made through additive manufacturing (AM) process, called Rapid Tooling (RT), could comparatively be a swift and economic approach. For low to medium number of MIM cycles, 3D printed polymer molds could potentially yield performance, comparable with machined metal mold. Present study investigates enhancement of various approaches for 3D printed polymer molds for their potential use in MIM. Consequently, 3D printed polymer molds proved promising for prototype and low volume manufacturing of MIM parts. © 2006-2017 Asian Research Publishing Network (ARPN).
date: 2017
publisher: Asian Research Publishing Network
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85035344612&partnerID=40&md5=8842a03c3a1152341c7a62b315479aa0
full_text_status: none
publication: ARPN Journal of Engineering and Applied Sciences
volume: 12
number: 22
pagerange: 6430-6434
refereed: TRUE
issn: 18196608
citation:   Qayyum, J.A. and Altaf, K. and Abdul Rani, A.M. and Ahmad, F. and Jahanzaib, M.  (2017) Performance of 3D printed polymer mold for metal injection molding process.  ARPN Journal of Engineering and Applied Sciences, 12 (22).  pp. 6430-6434.  ISSN 18196608