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ORIGINAL ARTICLE
Design and fabrication of a low-volume, high-temperature injection
mould leveraging a ‘rapid tooling’approach
Hamed Kalami
1
&R. J. Urbanic
1
Received: 15 August 2018 /Accepted: 17 April 2019
#Springer-Verlag London Ltd., part of Springer Nature 2019
Abstract
The costs for low-volume production moulds (1–200 production components) are related to the mould material, the process
planning time and the fabrication costs. Researchers have explored using additive manufacturing (AM) processes to fabricate
moulds directly from their digital models as this reduces the process planning time and some fabrication costs, but there are issues
with directly employing an AM solution. Material costs are high for metallic AM processes, and there are thermal conductivity
and material compatibility issues when using plastic-based AM processes. Both the metal- and plastic-based AM processes have
surface finish issues; so post processing activities must be part of the fabrication plan. In this research, a methodology is found to
fabricate low-volume production moulds using a high-temperature moulding material. A general solution is provided, with a case
study focusing on an over moulding process in which the injection material being moulded is Technomelt-PA 7846 black. A
hybrid mould fabrication is applied where a materialextrusion–based process is used to make a sacrificial product-shaped pattern.
This pattern is used to form a resin-based insert which is to be assembled into a mould base frame. Customised inserts can be
readily built and exchanged to provide a rapid response to a customer request. An assessment of the digital model, the
manufacturing, assembly and the final validated assembly model is provided.
Keywords Additive manufacturing .Mould fabrication .Low volume .High-temperature moulding materials .Process
planning .Rapid tooling .Assembly
1 Introduction
The competitive landscape in the manufacturing domain is
increasing in our global economy for both mass production
and customised product fabrication; hence, developing new
approaches to address wage and wage disparity issues, econ-
omies of scale and mass customisation, virtualisation and dig-
ital manufacturing, and self-optimisation are research areas
associated with Industry 4.0. The Industry 4.0 approach is
applicable to a wide variety of manufacturing domains, and
applications could leverage the Internet and cloud resources,
digital models (or twins), data analytics, smart sensors, 3D
printing or additive manufacturing, and so forth to allow pro-
ducers to better react to customer demands profitably. The
plastic mould–making industry, which is a multi-billion indus-
try consisting of typically small- and medium-size enterprises
(in Canada, there are 502 establishments with 5,300 em-
ployees and $926 million in shipments [1]), is actively pursu-
ing opportunities to reduce tooling costs and processing time.
The design solutions depend on the production volumes and
planning horizons, and different mould materials and fabrica-
tion strategies are required for low-volume, medium-volume,
and high-volume production. The introduction of digital
manufacturing and assembly strategies introduce new oppor-
tunities, especially for complex specialty production applica-
tions. However, to enable mass customisation, lower product
introduction cycles, and so forth, domain-specific detailed
product and process realisation knowledge need to be cap-
tured, and included in the company’s design standards or pro-
prietary knowledge base, complementing the digital models.
The objective of this research is on low-volume production,
where the production quantities vary between 1 and 200
A shorter version of this paper was presented at the CSME 2018,
May 2018 (Kalami and Urbanic 2018).
*R. J. Urbanic
jurbanic@uwindsor.ca
Hamed Kalami
kalami@uwindsor.ca
1
Department of Mechanical, Automotive, and Materials Engineering,
University of Windsor, Windsor, Ontario N9B 3P4, Canada
https://doi.org/10.1007/s00170-019-03799-8
The International Journal of Advanced Manufacturing Technology (2019) 105:3797–3813
/ Published online:
2019
21 May
Content courtesy of Springer Nature, terms of use apply. Rights reserved.