The Experts below are selected from a list of 11475 Experts worldwide ranked by ideXlab platform

Lars‐erik Rännar - One of the best experts on this subject based on the ideXlab platform.

S Basavarajappa - One of the best experts on this subject based on the ideXlab platform.

  • Review on non-Conventional Machining of shape memory alloys
    Transactions of Nonferrous Metals Society of China (English Edition), 2014
    Co-Authors: M. Manjaiah, S. Narendranath, S Basavarajappa
    Abstract:

    Shape memory alloys (SMAs) are the developing advanced materials due to their versatile specific properties such as pseudoelasticity, shape memory effect (SME), biocompatibility, high specific strength, high corrosion resistance, high wear resistance and high anti-fatigue property. Therefore, the SMAs are used in many applications such as aerospace, medical and automobile. However, the Conventional Machining of SMAs causes serious tool wear, time consuming and less dimensional deformity due to severe strain hardening and pseudoelasticity. These materials can be machined using non-Conventional methods such as laser Machining, water jet Machining (WJM) and electrochemical Machining (ECM), but these processes are limited to complexity and mechanical properties of the component. Electrical discharge Machining (EDM) and wire EDM (WEDM) show high capability to machine SMAs of complex shapes with precise dimensions. The aim of this work is to present the consolidated references on the Machining of SMAs using EDM and WEDM and subsequently identify the research gaps. In support to these research gaps, this work has also evolved the future research directions. © 2014 The Nonferrous Metals Society of China.

  • review on non Conventional Machining of shape memory alloys
    Transactions of Nonferrous Metals Society of China, 2014
    Co-Authors: M. Manjaiah, S. Narendranath, S Basavarajappa
    Abstract:

    Shape memory alloys (SMAs) are the developing advanced materials due to their versatile specific properties such as pseudoelasticity, shape memory effect (SME), biocompatibility, high specific strength, high corrosion resistance, high wear resistance and high anti-fatigue property. Therefore, the SMAs are used in many applications such as aerospace, medical and automobile. However, the Conventional Machining of SMAs causes serious tool wear, time consuming and less dimensional deformity due to severe strain hardening and pseudoelasticity. These materials can be machined using non-Conventional methods such as laser Machining, water jet Machining (WJM) and electrochemical Machining (ECM), but these processes are limited to complexity and mechanical properties of the component. Electrical discharge Machining (EDM) and wire EDM (WEDM) show high capability to machine SMAs of complex shapes with precise dimensions. The aim of this work is to present the consolidated references on the Machining of SMAs using EDM and WEDM and subsequently identify the research gaps. In support to these research gaps, this work has also evolved the future research directions.

Christoph Kiener - One of the best experts on this subject based on the ideXlab platform.

  • comparative energy resource and recycling lifecycle analysis of the industrial repair process of gas turbine burners using Conventional Machining and additive manufacturing
    Journal of Industrial Ecology, 2017
    Co-Authors: Frank Walachowicz, Ulrike Papenfuss, Christine Zeller, Andreas Graichen, Ingo Bernsdorf, Vladimir Navrotsky, Noorie Rajvanshi, Christoph Kiener
    Abstract:

    Summary Laser beam melting (LBM), also known as selective laser melting, is a powder bed fusion type of additive manufacturing (AM) technology used to fabricate metal parts from metal powder. LBM is a promising technology that offers new opportunities for increasing resource efficiency. The aim of this study was to compare environmental impacts of Conventional manufacturing methods with AM for a real industrial application. Analysis was performed on the repair process of a burner used in a Siemens industrial gas turbine. The results of this study show that the repair process based on AM provides significant reduction in material footprint (abiotic depletion potential), primary energy consumption, and carbon footprint compared to Conventional Machining and welding processes. Even though the AM process has increased power and inert gas consumption on the shop floor, the complete life cycle shows that the Conventional processes have a much higher environmental footprint from material use upstream. Different recycling models of nickel-based alloy and stainless steel scrap strongly influence the cradle-to-gate life cycle footprint. The results show that an AM process can have a sustainability advantage if it is designed in a holistic cradle-to-gate approach. The study also shows potentials for the LBM machine developers for entry into the industrialization of AM. Energy reduction potentials were identified during the idle mode, during operation mode from the supply of cooling duty, and also related to inert gas consumption. Careful consideration of these potentials can further improve the primary energy footprint of the LBM process.

  • Comparative Energy, Resource and Recycling Lifecycle Analysis of the Industrial Repair Process of Gas Turbine Burners Using Conventional Machining and Additive Manufacturing
    Journal of Industrial Ecology, 2017
    Co-Authors: Frank Walachowicz, Ulrike Papenfuss, Christine Zeller, Andreas Graichen, Ingo Bernsdorf, Vladimir Navrotsky, Noorie Rajvanshi, Christoph Kiener
    Abstract:

    Laser beam melting (LBM), also known as selective laser melting, is a powder bed fusion type of additive manufacturing (AM) technology used to fabricate metal parts from metal powder. LBM is a promising technology that offers new opportunities for increasing resource efficiency. The aim of this study was to compare environmental impacts of Conventional manufacturing methods with AM for a real industrial application. Analysis was performed on the repair process of a burner used in a Siemens industrial gas turbine. The results of this study show that the repair process based on AM provides significant reduction in material footprint (abiotic depletion potential), primary energy consumption, and carbon footprint compared to Conventional Machining and welding processes. Even though the AM process has increased power and inert gas consumption on the shop floor, the complete life cycle shows that the Conventional processes have a much higher environmental footprint from material use upstream. Different recycling models of nickel-based alloy and stainless steel scrap strongly influence the cradle-to-gate life cycle footprint. The results show that an AM process can have a sustainability advantage if it is designed in a holistic cradle-to-gate approach. The study also shows potentials for the LBM machine developers for entry into the industrialization of AM. Energy reduction potentials were identified during the idle mode, during operation mode from the supply of cooling duty, and also related to inert gas consumption. Careful consideration of these potentials can further improve the primary energy footprint of the LBM process. © 2017 The Authors. Journal of Industrial Ecology, published by Wiley Periodicals, Inc., on behalf of Yale University.

Marie Cronskär - One of the best experts on this subject based on the ideXlab platform.

M. Manjaiah - One of the best experts on this subject based on the ideXlab platform.

  • Review on non-Conventional Machining of shape memory alloys
    Transactions of Nonferrous Metals Society of China (English Edition), 2014
    Co-Authors: M. Manjaiah, S. Narendranath, S Basavarajappa
    Abstract:

    Shape memory alloys (SMAs) are the developing advanced materials due to their versatile specific properties such as pseudoelasticity, shape memory effect (SME), biocompatibility, high specific strength, high corrosion resistance, high wear resistance and high anti-fatigue property. Therefore, the SMAs are used in many applications such as aerospace, medical and automobile. However, the Conventional Machining of SMAs causes serious tool wear, time consuming and less dimensional deformity due to severe strain hardening and pseudoelasticity. These materials can be machined using non-Conventional methods such as laser Machining, water jet Machining (WJM) and electrochemical Machining (ECM), but these processes are limited to complexity and mechanical properties of the component. Electrical discharge Machining (EDM) and wire EDM (WEDM) show high capability to machine SMAs of complex shapes with precise dimensions. The aim of this work is to present the consolidated references on the Machining of SMAs using EDM and WEDM and subsequently identify the research gaps. In support to these research gaps, this work has also evolved the future research directions. © 2014 The Nonferrous Metals Society of China.

  • review on non Conventional Machining of shape memory alloys
    Transactions of Nonferrous Metals Society of China, 2014
    Co-Authors: M. Manjaiah, S. Narendranath, S Basavarajappa
    Abstract:

    Shape memory alloys (SMAs) are the developing advanced materials due to their versatile specific properties such as pseudoelasticity, shape memory effect (SME), biocompatibility, high specific strength, high corrosion resistance, high wear resistance and high anti-fatigue property. Therefore, the SMAs are used in many applications such as aerospace, medical and automobile. However, the Conventional Machining of SMAs causes serious tool wear, time consuming and less dimensional deformity due to severe strain hardening and pseudoelasticity. These materials can be machined using non-Conventional methods such as laser Machining, water jet Machining (WJM) and electrochemical Machining (ECM), but these processes are limited to complexity and mechanical properties of the component. Electrical discharge Machining (EDM) and wire EDM (WEDM) show high capability to machine SMAs of complex shapes with precise dimensions. The aim of this work is to present the consolidated references on the Machining of SMAs using EDM and WEDM and subsequently identify the research gaps. In support to these research gaps, this work has also evolved the future research directions.