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A knowledge based expert system for moulded part design
In today's competitive market many consumer products are designed with complex curved shapes to meet customers' demands for styling and ergonomics. These styled products are commonly manufactured using moulding processes because they can produce a wide range of freeform shapes at relatively low cost. However, although injection moulding and metal casting allow a great deal of design freedom they also make significant demands on the designer to ensure that parts are designed with due regard for manufacturability. This paper describes a knowledge based moulding advisor that has been developed to provide design for moulding advice to designers during the design process. The main contributions of the research are the development of a hierarchical knowledge representation to allow moulding advice to be generated at different levels of detail and the integration of the expert system with a geometric part description extracted from a Computer Aided Design (CAD) solid model. A demonstrator for the manufacturing advisor has been implemented using the expert system shell CLIPS and integrated with CAD using feature recognition. The moulding advisor is able to generate tailored design for moulding advice for a range of manufacturing processes and materials and evaluate the manufacturability of a designed part at the feature level. The paper provides a case study for a simple moulded test part
An intelligent knowledge based cost modelling system for innovative product development
This research work aims to develop an intelligent knowledge-based system for product
cost modelling and design for automation at an early design stage of the product
development cycle, that would enable designers/manufacturing planners to make more
accurate estimates of the product cost. Consequently, a quicker response to customers’
expectations. The main objectives of the research are to: (1) develop a prototype system
that assists an inexperienced designer to estimate the manufacturing cost of the product,
(2) advise designers on how to eliminate design and manufacturing related conflicts that
may arise during the product development process, (3) recommend the most economic
assembly technique for the product in order to consider this technique during the design
process and provide design improvement suggestions to simplify the assembly
operations (i.e. to provide an opportunity for designers to design for assembly (DFA)),
(4) apply a fuzzy logic approach to certain cases, and (5) evaluate the developed
prototype system through five case studies.
The developed system for cost modelling comprises of a CAD solid modelling system,
a material selection module, knowledge-based system (KBS), process optimisation
module, design for assembly module, cost estimation technique module, and a user
interface. In addition, the system encompasses two types of databases, permanent
(static) and temporary (dynamic). These databases are categorised into five separate
groups of database, Feature database, Material database, Machinability database,
Machine database, and Mould database.
The system development process has passed through four major steps: firstly,
constructing the knowledge-based and process optimisation system, secondly
developing a design for assembly module. Thirdly, integrating the KBS with both
material selection database and a CAD system. Finally, developing and implementing a
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fuzzy logic approach to generate reliable estimation of cost and to handle the
uncertainty in cost estimation model that cannot be addressed by traditional analytical
methods.
The developed system has, besides estimating the total cost of a product, the capability
to: (1) select a material as well as the machining processes, their sequence and
machining parameters based on a set of design and production parameters that the user
provides to the system, and (2) recommend the most economic assembly technique for a
product and provide design improvement suggestion, in the early stages of the design
process, based on a design feasibility technique. It provides recommendations when a
design cannot be manufactured with the available manufacturing resources and
capabilities. In addition, a feature-by-feature cost estimation report was generated using
the system to highlight the features of high manufacturing cost. The system can be
applied without the need for detailed design information, so that it can be implemented
at an early design stage and consequently cost redesign, and longer lead-time can be
avoided. One of the tangible advantages of this system is that it warns users of features
that are costly and difficult to manufacture. In addition, the system is developed in such
a way that, users can modify the product design at any stage of the design processes.
This research dealt with cost modelling of both machined components and injection
moulded components.
The developed cost effective design environment was evaluated on real products,
including a scientific calculator, a telephone handset, and two machined components.
Conclusions drawn from the system indicated that the developed prototype system
could help companies reducing product cost and lead time by estimating the total
product cost throughout the entire product development cycle including assembly cost.
Case studies demonstrated that designing a product using the developed system is more
cost effective than using traditional systems. The cost estimated for a number of
products used in the case studies was almost 10 to 15% less than cost estimated by the
traditional system since the latter does not take into consideration process optimisation,
design alternatives, nor design for assembly issue
Rule base reasoning in the knowledge-based mould design system
U članku se prikazuje parametarski, modularni, integrirani CAD/CAE sustav za konstruiranje kalupa, temeljen na značajkama. Predloženi sustav integrira Pro/E s izvorno razvijenim modulom za izračunavanje parametara injekcijskog prešanja, parametara kalupa i izbor kalupa. Sučelje koristi parametarske CAD/CAE značajke iz tipsko-orijentirane baze podataka, što doprinosi jednostavnijem procesu konstruiranja, uređivanja i izmjene podataka. S obzirom na prethodno istraživanje, članak prikazuje mogućnost modeliranja sustava primjenom pravila. U članku se još predstavlja popis inženjerskih metoda koje su se koristile za gradnju sustava zasnovanog na znanju, a metoda zaključivanja na osnovu pravila proizvodnje predstavlja se detaljnije.This paper describes knowledge-based oriented, parametric, modular, and feature-based integrated CAD/CAE system for mould design. The proposed system integrates Pro/E system with developed original module for calculation of parameters of injection moulding and mould design calculation and selection. The system interface uses parametric and CAD/CAE feature-based database to make the process of design, editing, and reviewing smoother. An example is provided to demonstrate our approach in rule-based representation. Also presented the lists of KBE techniques used for building the knowledge-based system and especially production rules reasoning
A Methodological Approach to Knowledge-Based Engineering Systems for Manufacturing
A survey of implementations of the knowledge-based engineering approach in different technological sectors is presented. The main objectives and techniques of examined applications are pointed out to illustrate the trends and peculiarities for a number of manufacturing field. Existing methods for the development of these engineering systems are then examined in order to identify critical aspects when applied to manufacturing.
A new methodological approach is proposed to overcome some specific limitations that emerged from the above-mentioned survey. The aim is to provide an innovative method for the implementation of knowledge-based engineering applications in the field of industrial production.
As a starting point, the field of application of the system is defined using a spatial representation. The conceptual design phase is carried out with the aid of a matrix structure containing the most relevant elements of the system and their relations. In particular, objectives, descriptors, inputs and actions are defined and qualified using categorical attributes.
The proposed method is then applied to three case studies with different locations in the applicability space. All the relevant elements of the detailed implementation of these systems are described. The relations with assumptions made during the design are highlighted to validate the effectiveness of the proposed method.
The adoption of case studies with notably different applications also reveals the versatility in the application of the method
Intelligent conceptual mould layout design system (ICMLDS) : innovation report
Family Mould Cavity Runner Layout Design (FMCRLD) is the most demanding and
critical task in the early Conceptual Mould Layout Design (CMLD) phase.
Traditional experience-dependent manual FCMRLD workflow results in long design
lead time, non-optimum designs and costs of errors. However, no previous research,
existing commercial software packages or patented technologies can support
FMCRLD automation and optimisation. The nature of FMCRLD is non-repetitive
and generative. The complexity of FMCRLD optimisation involves solving a
complex two-level combinatorial layout design optimisation problem. This research
first developed the Intelligent Conceptual Mould Layout Design System (ICMLDS)
prototype based on the innovative nature-inspired evolutionary FCMRLD approach
for FMCRLD automation and optimisation using Genetic Algorithm (GA) and Shape
Grammar (SG). The ICMLDS prototype has been proven to be a powerful
intelligent design tool as well as an interactive design-training tool that can encourage
and accelerate mould designers’ design alternative exploration, exploitation and
optimisation for better design in less time. This previously unavailable capability
enables the supporting company not only to innovate the existing traditional mould
making business but also to explore new business opportunities in the high-value
low-volume market (such as telecommunication, consumer electronic and medical
devices) of high precision injection moulding parts. On the other hand, the
innovation of this research also provides a deeper insight into the art of evolutionary
design and expands research opportunities in the evolutionary design approach into a
wide variety of new application areas including hot runner layout design, ejector
layout design, cooling layout design and architectural space layout design
Internship report and study concerning the threats and opportunities posed by additive manufacturing to moulding industry
This report will make a presentation and analysis of various parts and systems used in
injection moulds for plastics. This review starts by explaining the injection moulding process
of injection, followed by a description of mould standard parts and a process map of mould
making. The report also comprises case studies regarding hybrid manufacturing methods of
subtractive and additive manufacturing processes. A study regarding opportunities and threats
posed by additive manufacturing to the moulding industry is also made in order to understand
the future trends of plastic part production
Development of a design feature database to support design for additive manufacturing (DfAM)
This research introduces a method to aid the design of products or parts to be made using Additive Manufacturing (AM), particularly the laser sintering (LS) system. The research began with a literature review that encompassed the subjects of design and AM and through this the need for an assistive design approach for AM was identified. Undertaking the literature review also confirmed that little has been done in the area of supporting the design of AM parts or products.
Preliminary investigations were conducted to identify the design factors to consider for AM. Two preliminary investigations were conducted, the first investigation was conducted to identify the reasons for designing for AM, the need for a design support tool for AM and current challenges of student industrial designers designing parts or products for AM, and also to identify the type of design support they required. Further investigation were conducted to examine how AM products are developed by professional industrial designers and to understand their design processes and procedures. The study has identified specific AM enabled design features that the designers have been able to create within their case study products. Detailed observation of the case study products and parts reveals a number of features that are only economical or possible to produce with AM.
A taxonomy of AM enabled design features was developed as a precursor for the development of a computer based design tool. The AM enabled design features was defined as a features that would be uneconomical or very expensive to be produced with conventional methods. The taxonomy has four top-level taxons based on four main reasons for using AM, namely user fit requirements, improved product functionality requirements, parts consolidation requirements and improvement of aesthetics or form requirements. Each of these requirements was expanded further into thirteen sub categories of applications that contained 106 examples of design features that are only possible to manufacture using AM technology. The collected and grouped design features were presented in a form of a database as a method to aid product design of parts or products for AM. A series of user trials were conducted that showed the database enabled industrial designers to visualise and gather design feature information that could be incorporated into their own design work. Finally, conclusions are drawn and suggestions for future work are listed. In summary, it can be concluded that this research project has been a success, having addressed all of the objectives that were identified at its outset. From the user trial results, it is clear to see that the proposed tool would be an effective tool to support product design for AM, particularly from an educational perspective. The tool was found to be beneficial to student designers to take advantage of the design freedom offered by AM in order to produce improved product design. As AM becomes more widely used, it is anticipated that new design features will emerge that could be included in future versions of the database so that it will remain a rich source of inspirational information for tomorrow s industrial designers
Intelligent systems in manufacturing: current developments and future prospects
Global competition and rapidly changing customer requirements are demanding increasing changes in manufacturing environments. Enterprises are required to constantly redesign their products and continuously reconfigure their manufacturing systems. Traditional approaches to manufacturing systems do not fully satisfy this new situation. Many authors have proposed that artificial intelligence will bring the flexibility and efficiency needed by manufacturing systems. This paper is a review of artificial intelligence techniques used in manufacturing systems. The paper first defines the components of a simplified intelligent manufacturing systems (IMS), the different Artificial Intelligence (AI) techniques to be considered and then shows how these AI techniques are used for the components of IMS
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