The Experts below are selected from a list of 87 Experts worldwide ranked by ideXlab platform

Karan Sotoodeh - One of the best experts on this subject based on the ideXlab platform.

  • analysis and improvement of Material Selection for process piping system in offshore industry
    American journal of mechanical engineering, 2018
    Co-Authors: Karan Sotoodeh
    Abstract:

    Material failure mainly because of corrosion is a highly dangerous and expensive phenomenon in the offshore sector of the oil and gas industry, associated with severe negative consequences such as loss of asset, loss of production due to plant shutdown, loss of human life, and health, safety, and environment (HSE) problems (e.g. environmental pollution). Additionally, piping systems are produced in large numbers for the topside facilities in the oil and gas plants. Thus, the main aim of this paper is to introduce a novel approach for the piping Material Selection in the offshore industry to minimize the risk of piping corrosion and weight reduction with an optimum cost. The central focus of the study is to develop a Material Selection Tool based on a systematic Material Selection approach and the existing literature, standards, and specifications. In this study, the optimal Material Selection strategy includes three well-known methods of screening: Cambridge Material selector, value engineering (VE), and technique for order preference by similarity to ideal solution (TOPSIS). The proposed guideline is a practical reference for Material and piping engineers in the offshore industry to select the best choice of Material for a specific application. The main finding of this research is that 25% chromium super duplex stainless steel is the best choice of Material for processing piping systems in offshore plants for non-sour process (hydrocarbon) services. Super duplex stainless steel provides a high corrosion resistance and mechanical strength with the advantage of weight reduction for the selected facilities. A method of piping cost analysis is introduced to validate super duplex stainless steel as the most economical option.

  • analysis and improvement of Material Selection for process piping system in offshore industry
    American journal of mechanical engineering, 2018
    Co-Authors: Karan Sotoodeh
    Abstract:

    Material failure mainly because of corrosion is a highly dangerous and expensive phenomenon in the offshore sector of the oil and gas industry, associated with severe negative consequences such as loss of asset, loss of production due to plant shutdown, loss of human life, and health, safety, and environment (HSE) problems (e.g. environmental pollution). Additionally, piping systems are produced in large numbers for the topside facilities in the oil and gas plants. Thus, the main aim of this paper is to introduce a novel approach for the piping Material Selection in the offshore industry to minimize the risk of piping corrosion and weight reduction with an optimum cost. The central focus of the study is to develop a Material Selection Tool based on a systematic Material Selection approach and the existing literature, standards, and specifications. In this study, the optimal Material Selection strategy includes three well-known methods of screening: Cambridge Material selector, value engineering (VE), and technique for order preference by similarity to ideal solution (TOPSIS). The proposed guideline is a practical reference for Material and piping engineers in the offshore industry to select the best choice of Material for a specific application. The main finding of this research is that 25% chromium super duplex stainless steel is the best choice of Material for processing piping systems in offshore plants for non-sour process (hydrocarbon) services. Super duplex stainless steel provides a high corrosion resistance and mechanical strength with the advantage of weight reduction for the selected facilities. A method of piping cost analysis is introduced to validate super duplex stainless steel as the most economical option.

Xuan F. Zha - One of the best experts on this subject based on the ideXlab platform.

  • A web-based advisory system for process and Material Selection in concurrent product design for a manufacturing environment
    The International Journal of Advanced Manufacturing Technology, 2005
    Co-Authors: Xuan F. Zha
    Abstract:

    This paper reports the work of selecting suitable manufacturing processes and Materials in concurrent design for manufacturing environment. In the paper, a fuzzy knowledge-based decision support method is proposed for multi-criteria decision-making in evaluating and selecting possible manufacturing process/Material combinations in terms of the total production cost. Based on the proposed method, a prototype Web-based knowledge-intensive manufacturing consulting service system (WebMCSS) with the client-knowledge server architecture is developed to help designers/users find good processes and Materials while still at the conceptual level of design. The system, as one of the important parts of an advanced design for manufacturing Tool, is a concept level process and Material Selection Tool that can be used as both a standalone application and a Java applet freely available via the Web. Interlinked with Web pages of tutorials, and reference pages explaining the facets, fabrication processes and Material choices, the system performs reasoning and calculations using the process capability and Material property data from the remote Web-based database and knowledge base that can be maintained and updated via the Internet. The use of the system is illustrated with an example.

  • Manufacturing Advisory Service System for Concurrent and Collaborative Design of MEMS Devices
    MEMS NEMS, 1
    Co-Authors: Xuan F. Zha
    Abstract:

    This chapter first presents a concurrent collaborative design strategy for Micro-Electro-Mechanical Systems (MEMS). Then, it presents the development of a knowledge intensive approach and system to select suitable manufacturing processes and Materials for MEMS devices a concurrent collaborative design environment. Fundamental issues on concurrent collaborative design for manufacturability of MEMS and MEMS manufacturing process and Material Selection such as concurrent collaborative design framework, manufacturing process and Material hierarchies, and Selection strategy are addressed. A fuzzy decision support scheme for multi-criteria decision-making problem is proposed for estimating, ranking and selecting possible manufacturing processes, Materials and their combinations. Based on the client-knowledge server architecture and framework, a web-based prototype advisory system for MEMS manufacturing process and Material Selection, Web MEMS-MASS, is developed to help the designer find good processes and Materials for MEMS devices. The system, as one of important parts of an advanced simulation and modeling Tool for MEMS design, is a concept level process and Material Selection Tool, which can be used as a standalone application or a Java applet via the web. The running sessions of the system are inter-linked with web pages of tutorials and reference pages to explain the facets, fabrication processes and Material choices, and calculations and reasoning in Selection are performed using process capability and Material property data from a remote web-based database and interactive knowledge base that can be maintained and updated via the Internet. The use of the developed system including operation scenario, use support, and integration with an MEMS collaborative design system is presented. Finally, an illustration example is provided.

Hejun Du - One of the best experts on this subject based on the ideXlab platform.

  • manufacturing process and Material Selection in concurrent collaborative design of mems devices
    Journal of Micromechanics and Microengineering, 2003
    Co-Authors: Hejun Du
    Abstract:

    In this paper we present knowledge of an intensive approach and system for selecting suitable manufacturing processes and Materials for microelectromechanical systems (MEMS) devices in concurrent collaborative design environment. In the paper, fundamental issues on MEMS manufacturing process and Material Selection such as concurrent design framework, manufacturing process and Material hierarchies, and Selection strategy are first addressed. Then, a fuzzy decision support scheme for a multi-criteria decision-making problem is proposed for estimating, ranking and selecting possible manufacturing processes, Materials and their combinations. A Web-based prototype advisory system for the MEMS manufacturing process and Material Selection, WebMEMS-MASS, is developed based on the client–knowledge server architecture and framework to help the designer find good processes and Materials for MEMS devices. The system, as one of the important parts of an advanced simulation and modeling Tool for MEMS design, is a concept level process and Material Selection Tool, which can be used as a standalone application or a Java applet via the Web. The running sessions of the system are inter-linked with webpages of tutorials and reference pages to explain the facets, fabrication processes and Material choices, and calculations and reasoning in Selection are performed using process capability and Material property data from a remote Web-based database and interactive knowledge base that can be maintained and updated via the Internet. The use of the developed system including operation scenario, use support, and integration with an MEMS collaborative design system is presented. Finally, an illustration example is provided.

  • manufacturing process and Material Selection in concurrent collaborative design of mems devices
    Journal of Micromechanics and Microengineering, 2003
    Co-Authors: Hejun Du
    Abstract:

    In this paper we present knowledge of an intensive approach and system for selecting suitable manufacturing processes and Materials for microelectromechanical systems (MEMS) devices in concurrent collaborative design environment. In the paper, fundamental issues on MEMS manufacturing process and Material Selection such as concurrent design framework, manufacturing process and Material hierarchies, and Selection strategy are first addressed. Then, a fuzzy decision support scheme for a multi-criteria decision-making problem is proposed for estimating, ranking and selecting possible manufacturing processes, Materials and their combinations. A Web-based prototype advisory system for the MEMS manufacturing process and Material Selection, WebMEMS-MASS, is developed based on the client–knowledge server architecture and framework to help the designer find good processes and Materials for MEMS devices. The system, as one of the important parts of an advanced simulation and modeling Tool for MEMS design, is a concept level process and Material Selection Tool, which can be used as a standalone application or a Java applet via the Web. The running sessions of the system are inter-linked with webpages of tutorials and reference pages to explain the facets, fabrication processes and Material choices, and calculations and reasoning in Selection are performed using process capability and Material property data from a remote Web-based database and interactive knowledge base that can be maintained and updated via the Internet. The use of the developed system including operation scenario, use support, and integration with an MEMS collaborative design system is presented. Finally, an illustration example is provided.

Arlindo Silva - One of the best experts on this subject based on the ideXlab platform.

  • selecting composite Materials considering cost and environmental impact in the early phases of aircraft structure design
    Journal of Cleaner Production, 2018
    Co-Authors: Elcin Aleixo Calado, Marco Leite, Arlindo Silva
    Abstract:

    Abstract The main aim of this study is to develop a computer-aided Material Selection Tool that supports the designer in the Selection of the most suitable carbon fiber-reinforced composite configuration (orientations, the number of plies, Material type) for aircraft structures. The Selection procedure is based on technical, economic and environmental performance objectives for a given design, in a multidisciplinary and multi-objective optimization scenario. Economic and environmental performance evaluation is based on an integrated Life Cycle Assessment (LCA)/Life Cycle Costing (LCC) model. Technical performance evaluation is done using Hypermesh-Optistruct® solver. Direct multi-search (DMS) solver is used for the optimization framework. A cargo aircraft elevator design is optimized using the proposed Material Selection Tool. Results show that the Material Selection Tool is a suitable guide for reducing weight during the early phases of design and promoting sustainable development in the aircraft industry.

Jung Kyu Park - One of the best experts on this subject based on the ideXlab platform.

  • Advanced Development of a Smart Material Design, Modeling, and Selection Tool
    ASME 2011 Conference on Smart Materials Adaptive Structures and Intelligent Systems Volume 1, 2011
    Co-Authors: Jung Kyu Park, Gregory N. Washington
    Abstract:

    Smart Materials have significantly varied properties and their various types are used broadly in many different engineering applications. It is important to develop Tools which enable one to determine the best Material for a particular application. In this research, system-level simulation models and collected Material data are compiled in a GUI-based computer software called Polymers and Smart Materials Database (PSMD). This Material Selection Tool encompasses Material properties and Material-level models as well as potential smart Material applications. This type of compiled data can expedite the Material Selection process when designing smart Material based systems by allowing one to choose the most effective Material for the application. The software Tool offers a wide variety of design and Selection features. Material property and performance charts are provided to compare Material properties and to choose the best Material for optimal performance. The Tool enables users to categorize Material properties and create their own databases. This paper also highlights the modeling strategies being conducted in the area of elastomers and smart Materials.Copyright © 2011 by ASME

  • smart Material database compilation and Material Selection Tool development
    Proceedings of SPIE, 2010
    Co-Authors: Jung Kyu Park, Gregory Washington
    Abstract:

    In this paper, information on the various aspects of smart Materials is compiled in an easy-to-consult format by conducting extensive survey of published articles and including the properties of the Materials. The compilation of a comprehensive database on smart Materials enables to expedite a Material Selection process in the design of smart Material devices or systems. We show the compiled database in a legible format such as GUI based computer software that determines and simulates what Material to use based on properties and performance. Finally, the associated system-level models for selected Materials are developed and shown in the compilation.