Kaushik Kumar,
Divya Zindani,
J Paulo Davim,
J. Paulo Davim,
J. Paulo J. Davim
e.a.
Elsevier Science
e druk, 2021
9780128221242
Sustainable Manufacturing and Design
Specificaties
Paperback, blz.
|
Engels
Elsevier Science |
e druk, 2021
ISBN13: 9780128221242
Rubricering
Onderdeel van serie
Woodhead Publishing Reviews: Mechanical Engineering Series
Levertijd ongeveer 8 werkdagen
Samenvatting
Sustainable Manufacturing and Design draws together research and practices from a wide range of disciplines to help engineers design more environmentally sustainable products. Sustainable manufacturing requires that the entire manufacturing enterprise adopts sustainability goals at a system-level in decision-making, hence the scope of this book covers a wide range of viewpoints in response. Advice on recyclability, zero landfill design, sustainable quality systems, and product take-back issues make this a highly usable guide to the challenges facing engineering designers today. Contributions from around the globe are included, helping to form an international view of an issue that requires a global response.
Specificaties
Inhoudsopgave
<p>Section A: Sustainability methodology</p> <p>1. Current tools and methodology for a sustainable product life cycle and design</p> <p>2. Additive manufacturing for a dematerialised economy</p> <p>Section B: Sustainability in manufacturing</p> <p>3. Sustainable friction stir welding of metals</p> <p>4. Heat pipe-embedded tooling for sustainable manufacturing</p> <p>5. Sustainable manufacturing of plastic packaging material: An innovative approach</p> <p>Section C: Sustainability in product design</p> <p>6. Performance of microwave-irradiated WC-Co insert during dry machining of inconel 718 superalloys </p> <p>7. Experimental studies on friction stir welding of AA6061 aluminum alloy </p> <p>8. Machinability study of Inconel 825 superalloy under nanofluid MQL: application of sunflower oil as base cutting fluid with MWCNTs and nano-Al2O3 as additives</p> <p>Section D: Optimization</p> <p>9. Performance enhancement approaches for Mahua biodiesel blend on diesel engine</p> <p>10. Optimization of wear parameters of aluminium hybrid metal matrix composites by squeeze casting using Taguchi and artificial neural network</p>