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Mathieu et al. Byrd, J. Gilbert, and J. Nocedal , A trust region method based on interior point techniques for nonlinear programming , Mathematical Programming , pp. DOI : Byrd, M. Hribar, and J. Camelio , Diagnosis of multiple fixture faults in machining processes using designated component analysis , Journal of Manufacturing Systems , vol. Chase, J.

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Gao, and S. Magleby , General 2-D tolerance analysis of mechanical assemblies with small kinematic ajdustments , Journal of Design and Manufacture , vol. Gao, and P. Chase and A.

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Parkinson , A survey of research in the application of tolerance analysis to the design of mechanical assemblies , Research in Engineering Design , vol. Chen, J. Yuan, and J. Craig , Dimensional management versus tolerance assignment , Assembly Automation , vol. Dantan and A. A specification semantics deduced from tolerance synthesis , Journal of Manufacturing Systems , vol. Dantan, A. Ballu, and L.

Advances in Integrated Design and Manufacturing in Mechanical Engineering II

Mathieu , Geometrical product specifications??? Desrochers, A. Tolerancing et al. Desrochers , Application of a Unified Jacobian??? Desrochers , A matrix approach to the representation of tolerance zones and clearances , The International Journal of Advanced Manufacturing Technology , vol.

Fleming , Geometric relationships between toleranced features , Artificial Intelligence , vol. Fletcher , A new approach to variable metric algorithmsWorst-case tolerance design and quality assurance via genetic algorithms , The Computer Journal Journal of Optimization Theory and Applications , vol.

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Fortini and E. Fortini , Dimensioning for Interchangeable Manufacture , Gao , Comparison of assembly tolerance analysis by direct linearization and modified Monte Carlo simulation methods , pp. Gao , Generalized 3-D tolerance analysis of mechanical assemblies with small kinematic adjustments , IIE Transactions , vol. Giordano , Clearance space and deviation space: Application to three-dimensional chain of dimensions and positions , Giordano , Mathematical representation of Tolerance Zones , pp. Goldfarb , A family of variable-metric methods derived by variational means , Mathematics of Computation , vol.

Gomes , Nonlinear programming algorithms using trust regions and augmented Lagrangians with nonmonotone penalty parameters , Mathematical Programming , pp. Integration can actually complicate system design in many ways. Two good examples are robustness and durability. An integrated system is only considered as robust when its functional performance is intensive to selected design parameters and environmental changes, while it is still satisfying design and customer requirements.

To improve the integrated system robustness, Zakarian et al. Modelling and analysis of system robustness. Journal of Engineering Design , 18 3 : — With regard to integrated system durability, Saleh a Saleh, J. Covariance structural models of the relationship between the design and customer domains. Journal of Engineering Design , 19 1 : 75 — Integration between customer's technical requirements is achieved through the consideration of co-relations that are modelled in quantitative models.

This work bridges an important gap between engineering design and marketing, as it incorporates the definition and the seamless decomposition and integration of customer and functional requirements to design parameters.

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Recently, environmental requirements have been of growing interest within engineering design as a result of public pressure and stricter legal regulations. Choi et al. Engineering design is a knowledge-intensive process and as a result of this knowledge integration has been regarded as crucial by designers. Indeed much research effort has been devoted to developing different knowledge integration strategies, such as knowledge mapping, sharing, and access. However, given that design knowledge can assume many forms, knowledge integration remains an ongoing challenge.

Condoor and Kroll Condoor, S. Parameter analysis for the application of the principle of direct and short transmission path: a valve-actuator design case study. Thus, it can support, for example, the identification of appropriate design principles for novice designers who may not be aware of their existence. Methods are often used to assist individual tasks within the design process. Integration of such methods provides the potential to increase overall design performance across a series of design activities.

Wei and Chang Wei, W. In this case, the fuzzy Delphi method was used to identify essential selection criteria for design solutions, the ANP method was used to determine the weights of these criteria and proposed design alternatives.


Finally, the ZOGP model was used to perform multi-objective evaluation in order to reach an optimal solution. The integration of these three methods provides a combined qualitative and quantitative analysis against single or multi-criteria for the design solution selection. Haussler and Albers Haussler, P. Shape optimisation of parts in dynamic mechanical systems with respect to fatigue. Journal of Engineering Design , 18 5 : — Facilitated by the integration of methods for performing finite element analysis, hybrid multi-body system simulation, fatigue analysis and shape optimisation, an integrated structural optimisation process could be fully automated.

However, a feature of method integration is that it normally requires highly skilled users and involves the management of large amounts of data. For a manufacturing concern, to maintain and increase their market share and profitability, product designers need to adopt new technology that supports them to produce high-quality products in a time- and cost-effective manner. This section discusses recent advances in robust design, design optimisation, and design cognition and how this research can enhance their competitiveness.

Robust design is concerned with the development of methods intended to make a product's function more consistent in the face of variations in downstream processes, environments, and customer use patterns Jugulum and Frey Jugulum, R. Toward a taxonomy of concept designs for improved robustness. Herrmann Herrmann, D.

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Taguchi optimisation in the design of a printer registration system. Journal of Engineering Design , 18 1 : 1 — Parameter design considering the impact of design changes on downstream processes based upon the Taguchi method. Xue et al. One of the key challenges of robust design is evaluating robustness in the face of the dynamic nature of design. Yassine Yassine, A. Investigating product development process reliability and robustness using simulation. Zakarian et al. Their methodology consisted of three components: system modelling, integration analysis, and quality engineering.

Implementing the methodology can prove problematic, however, for example, lack of system engineering expertise in companies can limit the ability to develop appropriate system models. Journal of Engineering Design , 17 6 : — Optimisation has been a focus of design research for many years and has mostly focused on evaluation of design parameters. Such research has assumed that objective functions can be expressed algebraically and that it is possible to differentiate the functions that assist algorithms that try to perform gradient descent. However, recent research efforts have extended to designs of such complexity that their effectiveness can only be evaluated through computational methods and new processes. Computational methods have proved to be highly efficient and effective in shape optimisation Horvath et al. Computational methods to support sketching, reverse engineering and optimisation of shapes.

For parts in dynamic mechanical systems, shape optimisation is a complex task because in many cases it is not possible to deduce a limited set of load cases from load-time histories, and traditional optimisation approaches do not take fatigue into account. In addition, models have also been developed to enable the coupling of optimisation operation and dynamic systems. Vajna et al. Optimisation of a bow riser using the autogenetic design theory. The key idea of the evolutionary methodology is that good properties of preceding selections are passed onto succeeding solutions.

The implementation of the evolutionary methodology consists of a mixed process of searching, adoption of existing knowledge, learning, selecting, and combining.