Comparison of energy consumption between hybrid deposition & micro-rolling and conventional approach for wrought parts

Abstract The conventional approaches for wrought parts involve excessive energy consumption and severe pollution due to enormous equipment, the repeated heating and forging processes, and low material utilization. The hybrid deposition and micro rolling (HDMR), which combines in-situ rolling with additive manufacturing by applying synchronous pressure on the deposited layer with a micro-roller, is introduced to addresses the above challenges. To investigate the environmental performance of the HDMR process, this research develops an energy model based on active energy consumption and energy efficiency, which is verified with a deviation of 11.3% by power monitoring. A comprehensively comparative assessment is carried out between the conventional methods and HDMR for the fabrication of a wrought Ti-6Al-4V component. It is demonstrated that HDMR consumes only 35% energy of conventional approaches and shows superior performance in mechanical properties and production procedures. The energy efficiency of the deforming process in HDMR is estimated to be ∼150-fold higher than that of conventional forging processes. Thus, HDMR is expected to be a promising substitute for conventional approaches to fabricate wrought components and facilitates the green transformation of traditional forging approaches.

[1]  Abolfazl Gharaei,et al.  An integrated multi-product, multi-buyer supply chain under penalty, green, and quality control polices and a vendor managed inventory with consignment stock agreement: The outer approximation with equality relaxation and augmented penalty algorithm , 2019, Applied Mathematical Modelling.

[2]  John N. DuPont,et al.  Thermal efficiency of arc welding processes , 1995 .

[3]  R. Hague,et al.  Shape Complexity and Process Energy Consumption in Electron Beam Melting: A Case of Something for Nothing in Additive Manufacturing? , 2017 .

[4]  Haiou Zhang,et al.  Study on Metamorphic Rolling Mechanism for Metal Hybrid Additive Manufacturing , 2013 .

[5]  T. Gutowski,et al.  The Role of Material Efficiency in Environmental Stewardship , 2016 .

[6]  Sung-Hoon Ahn,et al.  A comparison of energy consumption in bulk forming, subtractive, and additive processes: Review and case study , 2014 .

[7]  Wang Guilan,et al.  HDMR technology for the aircraft metal part , 2016 .

[8]  Liming Wang,et al.  An improved cutting power model of machine tools in milling process , 2017 .

[9]  Sujit Das,et al.  Energy and emissions saving potential of additive manufacturing: the case of lightweight aircraft components , 2016 .

[10]  Ratnadeep Paul,et al.  Process energy analysis and optimization in selective laser sintering , 2012 .

[11]  Guilan Wang,et al.  End lateral extension path strategy for intersection in wire and arc additive manufactured 2319 aluminum alloy , 2019, Rapid Prototyping Journal.

[12]  L. Pedroti,et al.  Technological and environmental comparative of the processing of primary sludge waste from paper industry for mortar , 2020 .

[13]  Umit Unver,et al.  Energy efficiency by determining the production process with the lowest energy consumption in a steel forging facility , 2019, Journal of Cleaner Production.

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

[15]  Mauricio Camargo,et al.  Plastic recycling in additive manufacturing: A systematic literature review and opportunities for the circular economy , 2020, Journal of Cleaner Production.

[16]  Giuseppe Ingarao,et al.  Environmental modelling of aluminium based components manufacturing routes: Additive manufacturing versus machining versus forming , 2018 .

[17]  Seyed Ashkan Hoseini Shekarabi,et al.  Modelling And optimal lot-sizing of the replenishments in constrained, multi-product and bi-objective EPQ models with defective products: Generalised Cross Decomposition , 2020, International Journal of Systems Science: Operations & Logistics.

[18]  Sami Kara,et al.  Towards Energy and Resource Efficient Manufacturing: A Processes and Systems Approach , 2012 .

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

[20]  Sylvain Lefebvre,et al.  From 3D models to 3D prints: an overview of the processing pipeline , 2017, Comput. Graph. Forum.

[21]  Mohsen Seifi,et al.  Metal Additive Manufacturing: A Review of Mechanical Properties , 2016 .

[22]  Steven J. Skerlos,et al.  Environmental aspects of laser-based and conventional tool and die manufacturing , 2007 .

[23]  Gang Zhao,et al.  A Mechanism Model for Accurately Estimating Carbon Emissions on a Micro Scale of Iron-making System , 2019, ISIJ International.

[24]  A. Bandyopadhyay,et al.  Additive manufacturing of multi-material structures , 2018, Materials Science and Engineering: R: Reports.

[25]  Chen Shen,et al.  Towards an automated robotic arc-welding-based additive manufacturing system from CAD to finished part , 2016, Comput. Aided Des..

[26]  Seyed Ashkan Hoseini Shekarabi,et al.  An integrated stochastic EPQ model under quality and green policies: generalised cross decomposition under the separability approach , 2019, International Journal of Systems Science: Operations & Logistics.

[27]  Guilan Wang,et al.  Investigation of the mechanical properties on hybrid deposition and micro-rolling of bainite steel , 2017 .

[28]  A. Addison,et al.  Wire + Arc Additive Manufacturing , 2016 .

[29]  D. Harwig,et al.  Measurement and calculation of arc power and heat transfer efficiency in pulsed gas metal arc welding , 2003 .

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

[31]  Mei Zhan,et al.  Deformation behavior and microstructure evolution of titanium alloys with lamellar microstructure in hot working process: A review , 2020, Journal of Materials Science & Technology.

[32]  Jong-Taek Yeom,et al.  Characterization of deformation stability in hot forging of conventional Ti–6Al–4V using processing maps , 2002 .

[33]  Sangkee Min,et al.  A Comparison of Energy Consumption in Wire-based and Powder-based Additive-subtractive Manufacturing , 2016 .

[34]  Douglas S. Thomas,et al.  Costs and Cost Effectiveness of Additive Manufacturing , 2014 .

[35]  Abolfazl Gharaei,et al.  Modelling and optimal lot-sizing of integrated multi-level multi-wholesaler supply chains under the shortage and limited warehouse space: generalised outer approximation , 2019 .

[36]  Yi-Ming Wei,et al.  Potential of energy savings and CO2 emission reduction in China’s iron and steel industry , 2018, Applied Energy.

[37]  Hua Zhang,et al.  Morphology and coupling of environmental boundaries in an iron and steel industrial system for modelling metabolic behaviours of mass and energy , 2015 .

[38]  Abolfazl Gharaei,et al.  Joint Economic Lot-sizing in Multi-product Multi-level Integrated Supply Chains: Generalized Benders Decomposition , 2020, International Journal of Systems Science: Operations & Logistics.

[39]  Gang Zhao,et al.  Systemic boundaries in industrial systems: A new concept defined to improve LCA for metallurgical and manufacturing systems , 2018, Journal of Cleaner Production.

[40]  Huayong Yang,et al.  Electrical energy consumption and mechanical properties of selective-laser-melting-produced 316L stainless steel samples using various processing parameters , 2019, Journal of Cleaner Production.

[41]  Stefania Bruschi,et al.  Workability of Ti–6Al–4V alloy at high temperatures and strain rates , 2004 .

[42]  J. S. Zuback,et al.  Additive manufacturing of metallic components – Process, structure and properties , 2018 .

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

[44]  Eric Coatanéa,et al.  Comparative environmental impacts of additive and subtractive manufacturing technologies , 2016 .