Elsevier

Computer-Aided Design

Volume 37, Issue 7, June 2005, Pages 645-662
Computer-Aided Design

Automatic layout design of plastic injection mould cooling system

https://doi.org/10.1016/j.cad.2004.08.003Get rights and content

Abstract

This research extends our previous investigation of the automation of the preliminary design stage to the layout design stage of the cooling system design process. While the functional aspects of the cooling system are considered during the preliminary design stage, the layout design stage addresses both the functionality and manufacturability of the design. A graph structure is devised to capture a given preliminary design and a graph traversal algorithm is developed to generate candidate cooling circuits from the graph structure. Heuristic search is employed to develop the cooling circuits into the layout designs by generation of tentative manufacturing plans. A framework for fuzzy evaluation of the layout designs is developed to rate the various design alternatives generated. An experimental system is implemented to verify the feasibility of the approach, and examples generated from the system are presented to illustrate the major steps of the automatic design process.

Introduction

The function of the cooling system of a plastic injection mould is to provide thermal regulation in the injection moulding process. When the hot plastic melt enters into the mould impression, it cools down and solidifies by dissipating heat through the cooling system. As the cooling phase generally accounts for about two-thirds of the total cycle time of the injection moulding process, efficient cooling is very important to the productivity of the process. The cooling system also plays an important role in the product quality. A cooling system that provides uniform cooling across the entire part ensures product quality by preventing differential shrinkage, internal stresses, and mould release problems. In addition to the functional aspects, the design of a cooling system should also consider the manufacturability of the system to control the cost of mould construction.

The process of cooling system design is a complicated process and can be distinguished into three phases: preliminary design, layout design, and detail design. Although, CAD/CAM systems are widely used in the design of injection moulds, they are mainly limited to providing geometric modeling tools in the detail design phase. Specialized stand-alone or add-on software packages that provide interactive geometric modeling tools for designing various components or sub-systems of the mould structure are also commercially available. However, limited research works on automation tools that can play a more active role in the preliminary and layout design phases have been reported. In a previous research project, we developed a feature-based method which creates the preliminary design automatically [1], [2]. Given a plastic part with a complex shape, the feature-based method decomposes the part into simpler shape features, called cooling features. Cooling sub-circuits are then generated automatically to provide the required cooling function for each recognized feature. In the present research, automation in the design process is extended to the layout design phase. Techniques are developed which generate the layout design automatically from the preliminary design by considering both the functional and manufacturing aspects of the cooling system.

Section snippets

Related work

There are four major areas of research related to plastic injection mould cooling system, namely, computer-aided engineering (CAE) analysis, design optimization, new fabrication technology, and automatic design synthesis. Most of the early research work [[3], [4], [5], [6], [7]] focused on CAE analysis. After more than two decades of extensive research, commercial CAE packages such as MOLDFLOW and Moldex3D are now widely used in practice to analyze a given design. These CAE methods predict the

Overview of the method

In the preliminary design stage, the major issue to be addressed is the functional requirement, that is, the cooling requirement, of a given plastic part. The preliminary design specifies the type (e.g. U-circuit, parallel channels, bubblers, cooling towers, etc.), size (e.g. channel length and diameter), and the approximate locations of the cooling elements that form the cooling sub-circuits. Each sub-circuit provides the cooling function that carries away the heat from a region of the part.

Graph representation and operation on the preliminary design

Given a preliminary cooling system design in the form of a set of sub-circuits consisting of various type of cooling elements, a basic problem in generating the layout design is to identity appropriate connections within the sub-circuits (e.g. the interconnections between a set of parallel channels) and between adjacent sub-circuits (e.g. the connection between two U-circuits in two adjacent layers) so that they can be connected to form a complete cooling circuit. A graph-based technique is

Generation of candidate cooling circuits

To find the candidate cooling circuits from the connected graph G obtained from the previous step, an inlet is first selected among the nodes in G. Heuristics can be devised for this selection according to the specific requirement of a particular moulding condition. A simple heuristic that corresponds to a common practice in cooling system design is to select the node that is closest to the gate position. Starting from the selected inlet node, a set of simple paths is obtained from G by

Generation of layout designs

Given a candidate cooling circuit, the next task is to generate the layout design by developing a tentative manufacturing plan that (i) produces the cooling circuit in the mould insert, and (ii) connects the inlet and outlet of the circuit through the mould base to the side walls of the mould base. Fig. 5(a) shows a simple circuit and the mould insert. Fig. 5(b) shows the holes drilled in the mould insert that realize the circuit. Each channel in the circuit is formed by drilling a hole from a

Fuzzy evaluation of layout designs

A candidate layout design is evaluated from three major aspects, namely, cooling performance, manufacturability, and the structural strength of the mould insert. The rating IR of a layout design is given byIR=(wcIc)(wmIm)(wsIs)

This is a fuzzy weighted average [21], [22] of the cooling performance index Ic, the manufacturability index Im, and the structural strength index Is. The operators ⊕ and ⊗ represent fuzzy extended addition and multiplication. The weighting factors w's are fuzzy

Implementation and design example

To verify the feasibility of the proposed layout design process, an experimental system has been developed using C++ and is interfaced to the Unigraphics II CAD/CAM system. A design example is given in Fig. 13 to illustrate the major steps of the design process taken by the system. To simplify the illustration, only the cooling system in the core half is shown. Fig. 13(a) shows the input to the system, which is a preliminary design of the cooling system of an example part. Fig. 13(b) shows the

Conclusion and further work

Automation in the layout design of cooling systems for plastic injection moulds has been achieved in this research work. The automatic design process is formulated as a heuristic search process, whereby design alternatives are explored within a search space until a satisfactory design is obtained. A major issue in this research is the generation of candidate cooling circuits. This is achieved by devising a graph structure to capture a given preliminary design, and modification of the graph to

Acknowledgements

The work described in this paper was fully supported by a Strategic Research Grant from City University of Hong Kong (Project No. 7001348).

C.L. Li is an assistant professor in the Department of Manufacturing Engineering and Engineering Management, the City University of Hong Kong, Hong Kong. He received a BSc (Eng) in Mechanical Engineering from the University of Hong Kong in 1985, a MSc degree from Warwick University, UK, in 1987 and a PhD degree from the University of Hong Kong in 1998. He had five years of industrial experience in CAD/CAM applications and development before he joined the City University. His research interest

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    C.L. Li is an assistant professor in the Department of Manufacturing Engineering and Engineering Management, the City University of Hong Kong, Hong Kong. He received a BSc (Eng) in Mechanical Engineering from the University of Hong Kong in 1985, a MSc degree from Warwick University, UK, in 1987 and a PhD degree from the University of Hong Kong in 1998. He had five years of industrial experience in CAD/CAM applications and development before he joined the City University. His research interest includes mechanical design automation, feature recognition, intelligent CAD/CAM system and plastic injection mould design automation.

    C.G. Li is a PhD student in the Department of Manufacturing Engineering and Engineering Management, the City University of Hong Kong. He received a BSc (Eng) in Mining Machinery from JiLin Industrial University in China in 1992, a MSc (Eng) in Machinery Manufacturing from Zhejiang University in China in 1995. He had eight years of industrial experience in CAD/CAM applications and communication equipment manufacturing before he studied in the City University of Hong Kong. His research interests include intelligent CAD/CAM systems and plastic injection mould design automation.

    A.C.K. Mok received his BSc degree in Production Engineering from the University of Aston in Birmingham in England in 1979. He is now a Chartered Engineer and holding memberships in the Institution of Electric Engineers in UK and the Hong Kong Institution of Engineers. He started his job as a production engineer and worked up to the post of engineering manager in one of the largest manufacturers in Hong Kong from 1980 to 1988, specializing in new product development and tool design. He obtained his MPhil from the City University of Hong Kong in 1996. He is currently an assistant professor in the Department of Manufacturing Engineering and Engineering Management of the City University of Hong Kong.

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