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Martin Eriksson - One of the best experts on this subject based on the ideXlab platform.

  • Utilizing the generic Design Analysis (GDA) process model within an extended set of Design Analysis contexts
    Volume 11: Systems Design and Complexity, 2017
    Co-Authors: Martin Eriksson, Håkan Petersson, Damien Motte, Robert Bjärnemo
    Abstract:

    In most industrial product development projects, computer-based Design Analysis, or simply Design Analysis, is frequently utilized. Several Design Analysis process models exist in the literature for the planning, execution and follow-up of such Design Analysis tasks. Most of these process models deal explicitly with Design Analysis tasks within two specific contexts: the context of Design evaluation, and the context of Design optimization. There are, however, several more contexts within which Design Analysis tasks are executed. Originating from industrial practice, four contexts were found to represent a significant part of all Design Analysis tasks in industry. These are: 1. Explorative Analysis, aiming at the determination of important Design parameters associated with an existing or predefined Design solution (of which Design optimization is a part). 2. Evaluation, aiming at giving quantitative information on specific Design parameters in support of further Design decisions. 3. Physical testing, aiming at validating Design Analysis models through physical testing, that is, determining the degree to which models are accurate representations of the real world from the perspective of the intended uses of the models. 4. Method development, that is the development, verification and validation of specific guidelines, procedures or templates for the Design analyst and/or the engineering Designer to follow when performing a Design Analysis task. A Design Analysis process model needs to be able to deal with at least these four. In this work, a process model named the generic Design Analysis (GDA) process model, is applied to these four contexts. The principles for the adaptation of the GDA process model to different contexts are described. The use of the GDA process model in these contexts is exemplified with industrial cases: explorative Analysis of Design parameters of a bumper beam system, the final physical acceptance tests of a device transportation system (collision test, drop test, vibration test), and the method development of a template for analyzing a valve in a combustion engine. The "Evaluation" context is not exemplified as it is the most common one in industry. The GDA process model has been successfully used for the four contexts. Using the adaptation principles and industrial cases, the adaptation of the GDA process model to additional contexts is also possible.

  • Integrating engineering Design and Design Analysis activities at an operational level
    2017
    Co-Authors: Martin Eriksson, Damien Motte, Robert Bjärnemo, Håkan Petersson
    Abstract:

    Computer-based Design Analysis is nowadays of utmost importance for most engineering Design projects. However, this brings some challenges, among them that of the collaboration between engineering Designers and Design analysts. Since they work with, and are responsible for, different areas, they do not necessarily have full insight into each other’s way of working. The issue of integration between the Design Analysis process and the engineering Design process is of major significance for providing an increase in efficiency and effectiveness in engineering Design and development of products. In this work, an approach is proposed aiming at providing this increase in efficiency and effectiveness. Based on the Analysis of the information workflow between the engineering Design process and the Design Analysis process, a mapping of the necessary interactions between engineering Designers and Design analysts can be made. The presented approach facilitates this mapping. An application of this approach to an industrial project is also presented. (Less)

  • Fundamentals of a Methodology for Predictive Design Analysis
    2015
    Co-Authors: Martin Eriksson
    Abstract:

    The rapid development of computer-based Design Analysis tools and methods such as the finite element method (FEM) within computational structural mechanics (CSM), computational fluid dynamics (CFD), and multi-body systems (MBS) during recent decades has fundamentally changed the way in which products are Designed and developed. Among the many advantages observed in industrial practice, one can mention improved understanding of product properties and behavior, the possibility to optimize critical Design parameters and to optimize parts as well as the entire product at a system level, the possibility to explore a Design space during the synthesis activity, and a decrease of the need for physical testing and thus of the number of physical prototypes needed. However, all of these opportunities to improve the performance and durability of the product-to-be come with challenges. In order to utilize these tools as efficiently and effectively as possible it is necessary to facilitate their integration into the engineering Design process, and in product development and product innovation as a whole. Where computer-based Design Analysis replaces more traditional evaluation, validation and prediction methods, there is also a demand for greater confidence in the Design Analysis process and in the results obtained. The objective set out for the research project presented in this thesis is to outline the fundamentals of a methodology for predictive Design Analysis (PDA), a computer based Design Analysis methodology allowing for increased confidence in the predictions resulting from the Design Analysis activities regarding the critical Design parameters and their influence on the behavior of the product-to-be (artifact) throughout the entire Design and development of the artifact. The methodology is articulated around the generic Design Analysis (GDA) process model and how the activities within the phases of this process are influenced by factors emanating from the environment in which the Design Analysis task is originated and executed. Furthermore, a number of confidence appraisal activities (CAAs) are established to ascertain the confidence in the predictions made for the Design Analysis task during the Analysis process. These activities provide for an increase in confidence in the Design Analysis process as well as in the results obtained as input to the subsequent engineering activities within the development project. The fundamentals in terms of constituent parts of a methodology for PDA, introduced in this thesis, are developed at a level of concretization that makes them directly applicable in an industrial setting.

  • The methodology of predictive Design Analysis
    Volume 11: Systems Design and Complexity, 2014
    Co-Authors: Martin Eriksson
    Abstract:

    From an engineering point of view, uncertainty is present in all areas of Design (products, processes and organizations). Computer-based Design Analysis, here confined to quantitative computer-based structural Design Analysis within mechanical engineering, serves as an important source of information in decisions taken during the Design activity; importantly, it aims at giving confidence in critical Design results. It is moreover nowadays used on all levels of concretization of the product-to-be throughout the development process. It must therefore address different uncertainties and errors during the whole development process. To that end, the concept of predictive Design Analysis (PDA) was introduced. The initial version of PDA treated primarily uncertainties of aleatory nature and was confined to product/technology-related issues. Today a broader perspective on the uncertainties is needed, and it is important to develop reliable Design Analysis methods because of the increasing use of Design Analysis by both analysts and engineering Designers. Hence it is therefore necessary to extend the PDA framework into a full-blown methodology. PDA is a specific computer-based Design Analysis methodology that supports the systematic handling of uncertainties and errors during the computer-based Design Analysis activity throughout the whole development of the artifact. Such a methodology includes: Not only aleatory uncertainties, but also epistemic uncertainties connected with factors affecting the Design Analysis activities; Operationally efficient and effective integration between the engineering Design and Design Analysis activities; Quality assurance aspects in terms of quality checks, verification and validation activities taking physical testing into account; Progress monitoring throughout all Design Analysis activities from clarification to completion; Traceability in utilized information, technologies and established results; Information and knowledge re-use for an improved uncertainty treatment in future Design Analysis activities through establishment of lessons learned and best practice documentation as well as methodology development. In this paper the synthesis of the PDA methodology is reported. Starting from an elaboration on different concepts of uncertainty, the constituent elements of the extended PDA methodology are presented. The methodology is then illustrated with a case study. (Less)

  • Predictive Design Analysis process model
    2014
    Co-Authors: Martin Eriksson
    Abstract:

    Computer-based Design Analysis, here confined to quantitative computer-based structural Design Analysis within mechanical engineering, is an essential part of most product development projects in industry and serves as an important source of information in decisions taken during the engineering Design process; importantly, it aims at providing confidence in the decision on critical Design parameters. It is moreover nowadays used on all levels of concretization of the product-to-be throughout the whole product development process. It must therefore address different sources and modelling of uncertainties and errors present in all areas of Design (products, processes and organizations) during the whole product development process. To that end, the concept of predictive Design Analysis (PDA) has been introduced. PDA is a specific computer-based Design Analysis methodology [1] that supports the systematic handling of uncertainties and errors during the computerbased Design Analysis activity throughout the whole development of an artifact. Such a methodology includes: (1) Not only aleatory uncertainties (which have been the main focus of research and development in uncertainty-based Design Analysis), but also epistemic uncertainties associated with factors affecting the Design Analysis activities; (2) Operationally efficient and effective integration between the activities constituting the engineering Design process and Design Analysis activities via an overall Design Analysis process; (3) Quality assurance aspects in terms of quality checks, verification and validation activities taking physical testing into account; (4) Progress monitoring throughout all Design Analysis activities from clarification to completion; (5) Traceability in utilized information, technologies and established results; (6) Information and knowledge re-use for an improved uncertainty treatment in future Design Analysis activities through establishment of lessons learned and best practice documentation as well as methodology development. The main elements of PDA are presented next. They are numbered according to the list above.

Zhang Yu-lin - One of the best experts on this subject based on the ideXlab platform.

Robert Bjärnemo - One of the best experts on this subject based on the ideXlab platform.

  • Utilizing the generic Design Analysis (GDA) process model within an extended set of Design Analysis contexts
    Volume 11: Systems Design and Complexity, 2017
    Co-Authors: Martin Eriksson, Håkan Petersson, Damien Motte, Robert Bjärnemo
    Abstract:

    In most industrial product development projects, computer-based Design Analysis, or simply Design Analysis, is frequently utilized. Several Design Analysis process models exist in the literature for the planning, execution and follow-up of such Design Analysis tasks. Most of these process models deal explicitly with Design Analysis tasks within two specific contexts: the context of Design evaluation, and the context of Design optimization. There are, however, several more contexts within which Design Analysis tasks are executed. Originating from industrial practice, four contexts were found to represent a significant part of all Design Analysis tasks in industry. These are: 1. Explorative Analysis, aiming at the determination of important Design parameters associated with an existing or predefined Design solution (of which Design optimization is a part). 2. Evaluation, aiming at giving quantitative information on specific Design parameters in support of further Design decisions. 3. Physical testing, aiming at validating Design Analysis models through physical testing, that is, determining the degree to which models are accurate representations of the real world from the perspective of the intended uses of the models. 4. Method development, that is the development, verification and validation of specific guidelines, procedures or templates for the Design analyst and/or the engineering Designer to follow when performing a Design Analysis task. A Design Analysis process model needs to be able to deal with at least these four. In this work, a process model named the generic Design Analysis (GDA) process model, is applied to these four contexts. The principles for the adaptation of the GDA process model to different contexts are described. The use of the GDA process model in these contexts is exemplified with industrial cases: explorative Analysis of Design parameters of a bumper beam system, the final physical acceptance tests of a device transportation system (collision test, drop test, vibration test), and the method development of a template for analyzing a valve in a combustion engine. The "Evaluation" context is not exemplified as it is the most common one in industry. The GDA process model has been successfully used for the four contexts. Using the adaptation principles and industrial cases, the adaptation of the GDA process model to additional contexts is also possible.

  • Integrating engineering Design and Design Analysis activities at an operational level
    2017
    Co-Authors: Martin Eriksson, Damien Motte, Robert Bjärnemo, Håkan Petersson
    Abstract:

    Computer-based Design Analysis is nowadays of utmost importance for most engineering Design projects. However, this brings some challenges, among them that of the collaboration between engineering Designers and Design analysts. Since they work with, and are responsible for, different areas, they do not necessarily have full insight into each other’s way of working. The issue of integration between the Design Analysis process and the engineering Design process is of major significance for providing an increase in efficiency and effectiveness in engineering Design and development of products. In this work, an approach is proposed aiming at providing this increase in efficiency and effectiveness. Based on the Analysis of the information workflow between the engineering Design process and the Design Analysis process, a mapping of the necessary interactions between engineering Designers and Design analysts can be made. The presented approach facilitates this mapping. An application of this approach to an industrial project is also presented. (Less)

  • INTERACTION BETWEEN COMPUTER-BASED Design Analysis ACTIVITIES AND THE ENGINEERING Design PROCESS – AN INDUSTRIAL SURVEY
    2014
    Co-Authors: Martin Eriksson, Håkan Petersson, Robert Bjärnemo, Damien Motte
    Abstract:

    In the large majority of product development projects, computer-based Design analyses are performed to assess the feasibility of potential technical solutions. As a first step to bring about a deeper understanding of the interactions between the engineering Design and the Design Analysis activities, a survey has been performed in industry. The results of the survey cover: the use of Design Analysis within product development, the interactions of engineering Design along the Design Analysis process, and the treatment of uncertainties and errors connected to the Design Analysis activities.

  • Integration of the computer-based Design Analysis activity in the engineering Design process – A literature survey
    2014
    Co-Authors: Damien Motte, Martin Eriksson, Håkan Petersson, Robert Bjärnemo
    Abstract:

    Computer-based Design Analysis is nowadays a common activity in most development projects. Used for Design evaluation, verification, validation, or as a support for Design exploration, it fulfils an important support function for the engineering Designer, thus making it essential to have an operationally efficient and effective integration between both the engineering Design and Design Analysis activities in the overall development project. In this area, most works are focusing on software (mainly CAD/CAE) integration, but not on the integration between computer-based Design Analysis and engineering Design at the process level or on the collaboration between the engineering Designer and the Design analyst. This paper presents a review of the literature on that specific topic, namely the integration of the computer-based Design Analysis activity in the engineering Design process. Different research topics are identified and elaborated upon: integration in general process models; recommendations for the different Analysis steps; Analysis early in the engineering Design process; integration of Design Analysis in the engineering Designer's work; alternative usages of Design Analysis in the engineering Design process; and others, such as recommending guidelines instead of process models, quality assurance aspects, education, and implementation issues. Some neglected aspects were also identified. Among others, there is a lack of research into the so-called technology development (development of Design Analysis procedures and guidelines), and a need for emphasis on uncertainties, both coupled with the Design Analysis activity.

  • A process model for the Design Analysis clarification task
    2012
    Co-Authors: Håkan Petersson, Martin Eriksson, Damien Motte, Robert Bjärnemo
    Abstract:

    Many product development projects nowadays use computer-aided engineering systems in the Analysis of product proposals. It is therefore important to appropriately integrate the analyses activities in the product development process. One important aspect of this integration is how to handle the initiation of the task: identifying the need, planning the task and its monitoring, and communicating it to the analyst. To that end, this paper proposes and illustrates a product development process model that aims to efficiently and effectively prepare a Design Analysis task.

Hussin Affendi - One of the best experts on this subject based on the ideXlab platform.

  • Design, Analysis And Fabricate Of Pressure Vessel
    2008
    Co-Authors: Hussin Affendi
    Abstract:

    This bachelor degree final project presents Design, Analysis and manufacturing of pressure vessel. In the Design of pressure vessel safety is the primary consideration, due the potential impact of possible accident. There have a few main factors to Design the safe pressure vessel. This writing is focusing on analyzing the safety parameter for allowable working pressure. Allowable working pressures are calculated by using PV Elite which comply with the ASME VIII, Rules of construction pressure vessel div 1. The corruption of the vessel are probability occur at maximum pressure which is the element that only can sustain that pressure. At the end of this project, a pressure vessel which is air receiver are fabricated and the procedure of manufacture are explained clearly.

Damien Motte - One of the best experts on this subject based on the ideXlab platform.

  • Utilizing the generic Design Analysis (GDA) process model within an extended set of Design Analysis contexts
    Volume 11: Systems Design and Complexity, 2017
    Co-Authors: Martin Eriksson, Håkan Petersson, Damien Motte, Robert Bjärnemo
    Abstract:

    In most industrial product development projects, computer-based Design Analysis, or simply Design Analysis, is frequently utilized. Several Design Analysis process models exist in the literature for the planning, execution and follow-up of such Design Analysis tasks. Most of these process models deal explicitly with Design Analysis tasks within two specific contexts: the context of Design evaluation, and the context of Design optimization. There are, however, several more contexts within which Design Analysis tasks are executed. Originating from industrial practice, four contexts were found to represent a significant part of all Design Analysis tasks in industry. These are: 1. Explorative Analysis, aiming at the determination of important Design parameters associated with an existing or predefined Design solution (of which Design optimization is a part). 2. Evaluation, aiming at giving quantitative information on specific Design parameters in support of further Design decisions. 3. Physical testing, aiming at validating Design Analysis models through physical testing, that is, determining the degree to which models are accurate representations of the real world from the perspective of the intended uses of the models. 4. Method development, that is the development, verification and validation of specific guidelines, procedures or templates for the Design analyst and/or the engineering Designer to follow when performing a Design Analysis task. A Design Analysis process model needs to be able to deal with at least these four. In this work, a process model named the generic Design Analysis (GDA) process model, is applied to these four contexts. The principles for the adaptation of the GDA process model to different contexts are described. The use of the GDA process model in these contexts is exemplified with industrial cases: explorative Analysis of Design parameters of a bumper beam system, the final physical acceptance tests of a device transportation system (collision test, drop test, vibration test), and the method development of a template for analyzing a valve in a combustion engine. The "Evaluation" context is not exemplified as it is the most common one in industry. The GDA process model has been successfully used for the four contexts. Using the adaptation principles and industrial cases, the adaptation of the GDA process model to additional contexts is also possible.

  • Integrating engineering Design and Design Analysis activities at an operational level
    2017
    Co-Authors: Martin Eriksson, Damien Motte, Robert Bjärnemo, Håkan Petersson
    Abstract:

    Computer-based Design Analysis is nowadays of utmost importance for most engineering Design projects. However, this brings some challenges, among them that of the collaboration between engineering Designers and Design analysts. Since they work with, and are responsible for, different areas, they do not necessarily have full insight into each other’s way of working. The issue of integration between the Design Analysis process and the engineering Design process is of major significance for providing an increase in efficiency and effectiveness in engineering Design and development of products. In this work, an approach is proposed aiming at providing this increase in efficiency and effectiveness. Based on the Analysis of the information workflow between the engineering Design process and the Design Analysis process, a mapping of the necessary interactions between engineering Designers and Design analysts can be made. The presented approach facilitates this mapping. An application of this approach to an industrial project is also presented. (Less)

  • INTERACTION BETWEEN COMPUTER-BASED Design Analysis ACTIVITIES AND THE ENGINEERING Design PROCESS – AN INDUSTRIAL SURVEY
    2014
    Co-Authors: Martin Eriksson, Håkan Petersson, Robert Bjärnemo, Damien Motte
    Abstract:

    In the large majority of product development projects, computer-based Design analyses are performed to assess the feasibility of potential technical solutions. As a first step to bring about a deeper understanding of the interactions between the engineering Design and the Design Analysis activities, a survey has been performed in industry. The results of the survey cover: the use of Design Analysis within product development, the interactions of engineering Design along the Design Analysis process, and the treatment of uncertainties and errors connected to the Design Analysis activities.

  • Integration of the computer-based Design Analysis activity in the engineering Design process – A literature survey
    2014
    Co-Authors: Damien Motte, Martin Eriksson, Håkan Petersson, Robert Bjärnemo
    Abstract:

    Computer-based Design Analysis is nowadays a common activity in most development projects. Used for Design evaluation, verification, validation, or as a support for Design exploration, it fulfils an important support function for the engineering Designer, thus making it essential to have an operationally efficient and effective integration between both the engineering Design and Design Analysis activities in the overall development project. In this area, most works are focusing on software (mainly CAD/CAE) integration, but not on the integration between computer-based Design Analysis and engineering Design at the process level or on the collaboration between the engineering Designer and the Design analyst. This paper presents a review of the literature on that specific topic, namely the integration of the computer-based Design Analysis activity in the engineering Design process. Different research topics are identified and elaborated upon: integration in general process models; recommendations for the different Analysis steps; Analysis early in the engineering Design process; integration of Design Analysis in the engineering Designer's work; alternative usages of Design Analysis in the engineering Design process; and others, such as recommending guidelines instead of process models, quality assurance aspects, education, and implementation issues. Some neglected aspects were also identified. Among others, there is a lack of research into the so-called technology development (development of Design Analysis procedures and guidelines), and a need for emphasis on uncertainties, both coupled with the Design Analysis activity.

  • Investigation of the exogenous factors affecting the Design Analysis process
    2013
    Co-Authors: Martin Eriksson, Damien Motte
    Abstract:

    Computer-based Design Analysis activities are an essential part of most product development projects in industry. An effective integration of the Analysis activity into the product development process is therefore very valuable. The current work shows that Design Analysis activities are constrained and influenced by many elements from their working environment. Factors exogenous to the Design Analysis activity, but that have an important effect on it, are identified and grouped along their levels of influence on the activity: some appear within the development project, some are at the enterprise level, and some are outside the sphere of the enterprise. The proposed classification has the advantage of indicating what leverage a stakeholder can have upon such factors: the farther from the Analysis activity context, the more difficult it is to act upon them. Furthermore, a guideline presents how to deal with these factors during Design Analysis planning and execution within a product development project and in alternative enterprise configurations. Being aware of those factors should prevent fastidious iterations resulting from a poorly planned and organised Design Analysis task.