The Experts below are selected from a list of 264 Experts worldwide ranked by ideXlab platform
J. E. Renaud - One of the best experts on this subject based on the ideXlab platform.
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A multidisciplinary Design optimization approach for high temperature aircraft engine components
Structural optimization, 1999Co-Authors: Ravindra V. Tappeta, Shilpa Nagendra, J. E. RenaudAbstract:Rapid turn-around time for investigating new Design concepts is a primary force driving Design productivity initiatives across the industry. An integration framework focusing on the collaborative nature of rapid Design automation at the preliminary and Detailed Design Stage would ensure higher quality Designs from the beginning of the product Design cycle. As a result, producing reliable, robust optimum Designs from the preliminary Design phase would enable companies to reduce the overal Design cycle time. The focus of the present work is to study the applicability of a Multidisciplinary Design Optimization (MDO) method called Concurrent SubSpace Optimization (CSSO) for the Design and optimization of large scale real-life engineering systems. This work can be divided into three parts. The first part is the introduction and development of a benchmark MDO problem that simulates the Design and optimization of high temperature engine components (e.g. turbines, compressors etc.). The Design problem addressed herein is a stepped beam problem that couples multiple analysis codes using NASTRAN, PATRAN (The MacNeal Schwendler Corporation 1997a,b) and Response Surface Approximations (RSA). The second part focuses on the effectiveness of the polynomial based response surface approximations for capturing the temperature in a thin walled high temperature component. Specifically, quadratic response surface approximations are being investigated for their suitability. The third and the final part provides details of the generic implementation of CSSO within iSIGHT (Engenious Software Inc. 1997) and the results of testing this implementation in application to the benchmark problem mentioned above.
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A multidisciplinary Design optimization approach for high temperature aircraft engine components
Structural Optimization, 1999Co-Authors: Ravindra V. Tappeta, Shilpa Nagendra, J. E. RenaudAbstract:Rapid turn-around time for investigating new Design concepts is a primary force driving Design productivity initiatives across the industry. An integration framework focusing on the collaborative nature of rapid Design automation at the preliminary and Detailed Design Stage would ensure higher quality Designs from the beginning of the product Design cycle. As a result, producing reliable, robust optimum Designs from the preliminary Design phase would enable companies to reduce the overal Design cycle time.
Jack Jeswiet - One of the best experts on this subject based on the ideXlab platform.
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Conceptual and Detailed Design of an automotive engine cradle by using topology, shape, and size optimization
Structural and Multidisciplinary Optimization, 2015Co-Authors: Chao Li, Jack JeswietAbstract:An automotive engine cradle supports many crucial components and systems, such as an engine, transmission, and suspension. Important performance measures for the Design of an engine cradle include stiffness, natural frequency, and durability, while minimizing weight is of primary concern. This paper presents an effective and efficient methodology for engine cradle Design from conceptual Design to Detailed Design using Design optimization. First, topology optimization was applied on a solid model which only contains the possible engine cradle Design space, and an optimum conceptual Design was determined which minimizes weight while satisfying all stiffness constraints. Based on topology optimization results, a Design review was conducted, and a revised model was created which addresses all structural and manufacturability concerns. Shape and size optimization was then performed in the Detailed Design Stage to further minimize the mass while meeting the stiffness and natural frequency targets. Lastly, the final Design was validated for durability. The initial Design domain had the mass of 82.6 kg; topology optimization in conceptual Design reduced the mass to 26.7 kg; and the Detailed Design task involving shape and size optimization further reduced the mass to 21.4 kg.
Ravindra V. Tappeta - One of the best experts on this subject based on the ideXlab platform.
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A multidisciplinary Design optimization approach for high temperature aircraft engine components
Structural optimization, 1999Co-Authors: Ravindra V. Tappeta, Shilpa Nagendra, J. E. RenaudAbstract:Rapid turn-around time for investigating new Design concepts is a primary force driving Design productivity initiatives across the industry. An integration framework focusing on the collaborative nature of rapid Design automation at the preliminary and Detailed Design Stage would ensure higher quality Designs from the beginning of the product Design cycle. As a result, producing reliable, robust optimum Designs from the preliminary Design phase would enable companies to reduce the overal Design cycle time. The focus of the present work is to study the applicability of a Multidisciplinary Design Optimization (MDO) method called Concurrent SubSpace Optimization (CSSO) for the Design and optimization of large scale real-life engineering systems. This work can be divided into three parts. The first part is the introduction and development of a benchmark MDO problem that simulates the Design and optimization of high temperature engine components (e.g. turbines, compressors etc.). The Design problem addressed herein is a stepped beam problem that couples multiple analysis codes using NASTRAN, PATRAN (The MacNeal Schwendler Corporation 1997a,b) and Response Surface Approximations (RSA). The second part focuses on the effectiveness of the polynomial based response surface approximations for capturing the temperature in a thin walled high temperature component. Specifically, quadratic response surface approximations are being investigated for their suitability. The third and the final part provides details of the generic implementation of CSSO within iSIGHT (Engenious Software Inc. 1997) and the results of testing this implementation in application to the benchmark problem mentioned above.
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A multidisciplinary Design optimization approach for high temperature aircraft engine components
Structural Optimization, 1999Co-Authors: Ravindra V. Tappeta, Shilpa Nagendra, J. E. RenaudAbstract:Rapid turn-around time for investigating new Design concepts is a primary force driving Design productivity initiatives across the industry. An integration framework focusing on the collaborative nature of rapid Design automation at the preliminary and Detailed Design Stage would ensure higher quality Designs from the beginning of the product Design cycle. As a result, producing reliable, robust optimum Designs from the preliminary Design phase would enable companies to reduce the overal Design cycle time.
Desrochers Alain - One of the best experts on this subject based on the ideXlab platform.
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GENERIC PRODUCT Design & VALIDATION METHODOLOGIES AT THE Detailed Design Stage
European Scientific Journal ESJ, 2013Co-Authors: Iorga Cristian, Desrochers AlainAbstract:Doing Design is to imagine and specify things that don’t exist, with the scope of modeling them and bringing them into the world. The «things» may be palpable-machines, buildings and bridges; they may be procedures-Design methodologies for an organization or protocols for a manufacturing process, or for solving a scientific research problem by experiment; they also may be works of art-painting, lyrics, music or sculpture. Engineering Design can be challenging and exciting, or it can be taxing, difficult and unproductive if the validation methods of the product are not linked to the client needs and to the product specifications. Uncertainties and variability always exist in Design predictions. Loads are often variable and inaccurately known, strengths are variable and sometimes inaccurately known for certain failure modes or certain states of stress and other uncertainties may result from variations in the quality of manufacture, operation conditions or maintenance practices. One of the objectives of this paper is to outline a methodology that highlights the exciting challenges of product Design and allows both engineers and students to focus on the development of a creative, effective and profitable solution. Another challenging goal of this paper would be to integrate Design optimization and Design validation at the Detailed Design phase in the product development process. Detailed Design involves interactions between three elements: geometry, materials and loads. In this context, links between these elements will be formalized in terms of Design methodologies. The optimization process allows finding one or more combinations of parameters maximizing or minimizing a given Design criterion, while the validation activities provide feedback to the Designers in order to verify the calculations accuracy and the achievement of all Design criteria. To provide safe, reliable operation in the face of these variations and uncertainties, it is common practice to utilize the Design safety factor and to integrate it into the product development process (PDP).
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generic product Design validation methodologies at the Detailed Design Stage
European Scientific Journal ESJ, 2013Co-Authors: Iorga Cristian, Desrochers AlainAbstract:Doing Design is to imagine and specify things that don’t exist, with the scope of modeling them and bringing them into the world. The «things» may be palpable-machines, buildings and bridges; they may be procedures-Design methodologies for an organization or protocols for a manufacturing process, or for solving a scientific research problem by experiment; they also may be works of art-painting, lyrics, music or sculpture. Engineering Design can be challenging and exciting, or it can be taxing, difficult and unproductive if the validation methods of the product are not linked to the client needs and to the product specifications. Uncertainties and variability always exist in Design predictions. Loads are often variable and inaccurately known, strengths are variable and sometimes inaccurately known for certain failure modes or certain states of stress and other uncertainties may result from variations in the quality of manufacture, operation conditions or maintenance practices. One of the objectives of this paper is to outline a methodology that highlights the exciting challenges of product Design and allows both engineers and students to focus on the development of a creative, effective and profitable solution. Another challenging goal of this paper would be to integrate Design optimization and Design validation at the Detailed Design phase in the product development process. Detailed Design involves interactions between three elements: geometry, materials and loads. In this context, links between these elements will be formalized in terms of Design methodologies. The optimization process allows finding one or more combinations of parameters maximizing or minimizing a given Design criterion, while the validation activities provide feedback to the Designers in order to verify the calculations accuracy and the achievement of all Design criteria. To provide safe, reliable operation in the face of these variations and uncertainties, it is common practice to utilize the Design safety factor and to integrate it into the product development process (PDP).
D Rogers - One of the best experts on this subject based on the ideXlab platform.
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Chapter 10 – Feasibility Study Plant Design
Gold Ore Processing, 2020Co-Authors: A. Ryan, E. Johanson, D RogersAbstract:Key objectives in completing the process plant Design for a feasibility study include feasible and constructible Design, and focus on the key capital and operating cost drivers. Sufficient Design should be completed to provide backup for the capital and operating cost estimates at the appropriate level of accuracy to establish the feasibility of the Design. The feasibility study Design may identify a number of issues needing resolution at the Detailed Design Stage. Every study is different and has a number of project-specific factors. This chapter provides an overview of some of the key drivers for gold process plant Design on an area basis, from comminution to cyanide detoxification. Also covered are special issues for large facilities, constructability aspects, and some of the pitfalls encountered in feasibility study plant Design.
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Feasibility Study Plant Design
Developments in mineral processing, 2020Co-Authors: A. Ryan, E. Johanson, D RogersAbstract:Publisher Summary There are a number of key objectives in completing the process plant Design for a feasibility study: the plant Design must be feasible and constructible; the plant Design must focus on the key issues that drive the capital and operating costs; only sufficient Design is completed to provide backup for the capital and operating cost estimates at appropriate level of accuracy to establish the feasibility of the Design; and the feasibility study Design may identify a number of issues needing resolution at the Detailed Design Stage. Every study is different and has a number of project specific factors. This chapter provides an overview of some of the key drivers for the process plant Design on an area basis.