An insight into the electrical energy demand of friction stir welding processes: the role of process parameters, material and machine tool architecture

The manufacturing sector accounts for a high share of global electrical energy consumption and CO2 emissions, and therefore, the environmental impact of production processes is being more and more investigated. An analysis of power and energy consumption in friction stir welding processes can contribute to the characterization of the process from a new point of view and also provide useful information about the environmental impact of the process. An in-depth analysis of electrical energy demand of friction stir welding is here proposed. Different machine tool architectures, including an industrial dedicated machine, have been used to weld aluminum and steel sheets under different process conditions. The influence of tool rotation and feed rate was investigated. A power study, with breakdown analysis, was carried out to identify the contribution of the main sub-units and to determine the total demand. Different setups have been analyzed in order to identify the conditions resulting in the highest energy and mechanical efficiency. Potential control strategies for energy consumption reduction of FSW process are proposed.

[1]  Timothy G. Gutowski,et al.  The energy requirements and environmental impacts of sheet metal forming: An analysis of five forming processes , 2017 .

[2]  Matthias Finkbeiner,et al.  Life Cycle Assessment of welding technologies for thick metal plate welds , 2015 .

[3]  Pascal Mognol,et al.  Sustainable manufacturing: evaluation and modeling of environmental impacts in additive manufacturing , 2013, The International Journal of Advanced Manufacturing Technology.

[4]  Joost Duflou,et al.  A Comprehensive Analysis of Electric Energy Consumption of Single Point Incremental Forming Processes , 2014 .

[5]  Katherine C. Morris,et al.  Procedure for Selecting Key Performance Indicators for Sustainable Manufacturing , 2018 .

[6]  Lin Li,et al.  Energy requirements evaluation of milling machines based on thermal equilibrium and empirical modelling , 2013 .

[7]  Paolo Claudio Priarone,et al.  Quality-conscious optimization of energy consumption in a grinding process applying sustainability indicators , 2016 .

[8]  Emilio Jiménez Macías,et al.  Optimisation of friction-stir welding process using vibro-acoustic signal analysis , 2013 .

[9]  Amber Shrivastava,et al.  Comparison of energy consumption and environmental impact of friction stir welding and gas metal arc welding for aluminum , 2015 .

[10]  John W. Sutherland,et al.  Unit Process Life Cycle Inventory Models of Hot Forming Processes , 2013 .

[11]  Zhifeng Liu,et al.  Carbon emission analysis and reduction for stamping process chain , 2017 .

[12]  Sabbah Ataya,et al.  Friction stir welding of similar and dissimilar AA7075 and AA5083 , 2017 .

[13]  M. Hauschild,et al.  Methodology for systematic analysis and improvement of manufacturing unit process life-cycle inventory (UPLCI)—CO2PE! initiative (cooperative effort on process emissions in manufacturing). Part 1: Methodology description , 2011, The International Journal of Life Cycle Assessment.

[14]  Simon Ford,et al.  Additive manufacturing and sustainability: an exploratory study of the advantages and challenges , 2016 .

[15]  Giuseppe Ingarao,et al.  Manufacturing strategies for efficiency in energy and resources use: The role of metal shaping processes , 2017 .

[16]  Matthias Finkbeiner,et al.  Environmental and Social Life Cycle Assessment of Welding Technologies , 2015 .

[17]  C. Herrmann,et al.  A Global Assessment of Manufacturing: Economic Development, Energy Use, Carbon Emissions, and the Potential for Energy Efficiency and Materials Recycling , 2013 .

[18]  Andres F. Clarens,et al.  A Review of Engineering Research in Sustainable Manufacturing , 2013 .

[19]  Z. Chen,et al.  Friction stir welding , 2010 .

[20]  H. Bhadeshia,et al.  Review: Friction stir welding tools , 2011 .

[21]  Jose Luis Silveira,et al.  Analysis of Torque in Friction Stir Welding of Aluminum Alloy 5052 by Inverse Problem Method , 2017 .

[22]  Michael P Sealy,et al.  Energy consumption and process sustainability of hard milling with tool wear progression , 2016 .

[23]  Sami Kara,et al.  Unit process energy consumption models for material removal processes , 2011 .

[24]  Satish V. Kailas,et al.  Optimization of friction stir welding parameters for dissimilar aluminum alloys , 2010 .

[25]  Wim Dewulf,et al.  Critical comparison of methods to determine the energy input for discrete manufacturing processes , 2012 .

[26]  Amber Shrivastava,et al.  Prediction of unit process life cycle inventory (UPLCI) energy consumption in a friction stir weld , 2015 .

[27]  Giuseppe Ingarao,et al.  Energy and CO2 life cycle inventory issues for aluminum based components: the case study of a high speed train window panel , 2016 .

[28]  Zhifeng Liu,et al.  Energy consumption analysis on sheet metal forming: focusing on the deep drawing processes , 2018 .

[29]  Giuseppe Ingarao,et al.  Analysis of Electrical Energy Demands in Friction Stir Welding of Aluminum Alloys , 2017 .

[30]  Karel Kellens,et al.  Environmental Dimensions of Additive Manufacturing: Mapping Application Domains and Their Environmental Implications , 2017 .

[31]  M. Koilraj,et al.  Friction stir welding of dissimilar aluminum alloys AA2219 to AA5083 – Optimization of process parameters using Taguchi technique , 2012 .

[32]  Sami Kara,et al.  An empirical model for predicting energy consumption of manufacturing processes: a case of turning process , 2011 .