Evaluation of Hard Materials Using Eco-Attributes

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Hard materials based on Alumina (AN), Silicon Carbide (SC), Boron Carbide/Nitride (BC/N), Zirconia (ZN), and alike are often used to produce abrasive grains and coat cutting tools. These materials improve the performance of grinding/machining operations by providing an enhanced productivity, a longer grinder/tool life, and a better surface finish. On the other hand, they might leave some burdens on the environment. Therefore, eco-attributes (i.e., energy consumption, CO2 emission, NOX/SOX emission, water usage, recycle fraction, etc.) of these hard materials should be used to make an informed decision. This study deals with this issue and provides an evaluation of AN, SC, BC/N, and ZN based hard materials in terms of CO2 emission, NOX emission, SOX emission, and water usage. The outcomes of this study are useful for analyzing grinding and other abrasive processes for achieving eco-manufacturing.

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693-698

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August 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] S. Ogawa, S. Okumura, T. Hirogaki, E. Aoyama and Y. Onchi: Investigation of Eco-friendly Fixed-Abrasive Polishing with Compact Robot, Advanced Materials Research Vol. 126-128 (2010), p.415.

DOI: 10.4028/www.scientific.net/amr.126-128.415

Google Scholar

[2] Z. Sun, S. Biller, F. Gu and L. Li: Energy Consumption Reduction for Sustainable Manufacturing Systems Considering Machines with Multiple-Power States, Proceedings of the ASME 2011 International Manufacturing Science and Engineering Conference, June 13-17, 2011, Corvallis, Oregon, USA.

DOI: 10.1115/msec2011-50069

Google Scholar

[3] A.M.M. Sharif Ullah, K. Kitajima, T. Akamatsu, M. Furuno, J. Tamaki and A. Kubo: On Some Eco-indicators of Cutting Tools, Proceedings of the ASME 2011 International Manufacturing Science and Engineering Conference, June 13-17, 2011, Corvallis, Oregon, USA.

DOI: 10.1115/msec2011-50071

Google Scholar

[4] —. CES SelectorÔ Version 5. 1. 0, 2009, Granta Design Limited, UK, http: /www. grantadesign. com.

Google Scholar

[5] D. Dubois, L. Foulloy, G. Mauris and H. Prade: Probability-Possibility Transformations, Triangular Fuzzy Sets, and Probabilistic Inequalities, Reliable Computing, Vol. 10 (2004), p.273.

DOI: 10.1023/b:reom.0000032115.22510.b5

Google Scholar

[6] G. Mauris, V. Lasserre and L. Foulloy: A fuzzy approach for the expression of uncertainty in measurement, Measurement, Vol. 29(3) (2001), p.165.

DOI: 10.1016/s0263-2241(00)00036-1

Google Scholar

[7] R.Y. Tan, A. B. Culaba and R.I. Purvis: Application of possibility theory in the life-cycle inventory assessment of biofuels, International Journal of Energy Research, Vol. 26 (2002), pp.737-745.

DOI: 10.1002/er.812

Google Scholar

[8] A.M.M. Sharif Ullah: A Fuzzy Decision Model for Conceptual Design, Systems Engineering, Vol. 8(4) (2005), p.296.

Google Scholar

[9] A.M.M. Sharif Ullah: Handling Design Perceptions: An Axiomatic Design Perspective, Research in Engineering Design, Vol. 16(3) (2005), p.109.

DOI: 10.1007/s00163-005-0002-2

Google Scholar

[10] A.M.M. Sharif Ullah, K.H. Harib and A. Al-Awar: Minimizing Information Content of a Design using Compliance Analysis, SAE Technical Paper 2007-01-1209, (2007).

DOI: 10.4271/2007-01-1209

Google Scholar

[11] A.M.M. Sharif Ullah and K.H. Harib: An Intelligent Method for Selecting Optimal Materials and its Application, Advanced Engineering Informatics Vol. 22(4) (2008), p.473.

DOI: 10.1016/j.aei.2008.05.006

Google Scholar

[12] A.M.M. Sharif Ullah: Logical interaction between domain knowledge and human cognition in design, International Journal of Manufacturing Technology and Management, Vol. 14(1-2) (2008), p.215.

DOI: 10.1504/ijmtm.2008.017496

Google Scholar