Skip to main content
SpringerLink
Log in

A selection methodology of key parts based on the characteristic of carbon emissions for low-carbon design

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Key parts refer to the problematic parts which have higher carbon emissions and need to be further optimized in low-carbon design. However, it is difficult to pick them out for designers because the quantitative relationship and unified connection between product life cycle stages and carbon emissions are hard to determine. To efficiently and effectively select the key parts of equipment products, this paper presents a selection methodology based on the characteristic of carbon emissions for low-carbon design. First, a low-carbon design framework is constructed to guide the low-carbon design process. Second, an embodied carbon-energy field (ECEF)-based selection method is proposed to help product designers make a decision. The ECEF denotes the carbon emissions distribution on product structures. Based on the temperature field of products, the ECEF can be constructed by integrating the main life cycle stages of products. The definition of ECEF is given initially. Then, the mapping mechanism and process between the temperature field and ECEF are studied. Meanwhile, the mathematical model of the ECEF is also presented to support the mapping process. Thus, the total carbon emissions distribution of every part and every point can be achieved by the ECEF of products and also seen by product designers visually. Therefore, the key parts could be selected easily. Finally, the proposed method is applied to a CNC gantry type honing machine to validate its feasibility and correctness. The result shows the selection method can be used to identify the problematic parts and points effectively and easily.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Zhang YF, Ren S, Liu Y, Si SB (2017) A big data analytics architecture for cleaner manufacturing and maintenance processes of complex products. J Clean Prod 142(part 2):626–641. doi:10.1016/j.jclepro.2016.07.123

    Article  Google Scholar 

  2. Bao H (2013) Research on method of carbon footprint analysis and low carbon design mapping for forging machine. Dissertation, Hefei University of Technology

  3. Kroll L, Blau P, Wabner M, Frieß U, Eulitz J, Klärner M (2011) Lightweight components for energy-efficient machine tools. CIRP J Manuf Sci Technol 4(2):148–160

    Article  Google Scholar 

  4. Devanathan S, Ramanujan D, Bernstein WZ, Zhao F, Ramani K (2010) Integration of sustainability into early design through the function impact matrix. J Mech Des 132(8):081004–081004. doi:10.1115/1.4001890

    Article  Google Scholar 

  5. Bakshi BR, Gutowski TG, Sekulic DP (2011) Thermodynamics and the destruction of resources. Cambridge University Press, New York

    Book  Google Scholar 

  6. Gutowski TG, Branham MS, Dahmus JB, Jones AI, Thiriez A, Sekulic DP (2009) Thermodynamic analysis of resources used in manufacturing processes. Environ Sci Technol 43(5):1584–1590. doi:10.1021/es8016655

    Article  Google Scholar 

  7. Song JS, Lee KM (2010) Development of a low-carbon product design system based on embedded GHG emissions. Resour Conserv Recycl 54(9):547–556. doi:10.1016/j.resconrec.2009.10.012

    Article  Google Scholar 

  8. Du YB, Yi Q, Li CB, Liao L (2015) Life cycle oriented low-carbon operation models of machinery manufacturing industry. J Clean Prod 91:145–157. doi:10.1016/j.jclepro.2014.12.028

    Article  Google Scholar 

  9. He B, Tang W, Wang J, Huang S, Deng Z, Wang Y (2015) Low-carbon conceptual design based on product life cycle assessment. Int J Adv Manuf Technol 81(5):863–874. doi:10.1007/s00170-015-7253-5

  10. He B, Tang W, Wang J (2015) Product model integrated with carbon footprint for low-carbon design. Int J Precis Eng Manuf 16(11):2383–2388. doi:10.1007/s12541-015-0307-7

    Article  Google Scholar 

  11. Xu ZZ, Teng ZR, Zhong CQ, Liu ZJ, Ma XF (2014) Multi-objective optimization for performance, cost and carbon tax of low-carbon product. Inf Technol J 13(2):278–285. doi:10.3923/itj.2014.278.285

  12. Wang Q, Tang DB, Yin LL, Salido MA, Giret A, Xu YC (2016) Bi-objective optimization for low-carbon product family design. Robot Cim-Int Manuf 41:53–65. doi:10.1016/j.Rcim.2016.02.001

    Article  Google Scholar 

  13. Ameli M, Mansour S, Ahmadi-Javid A (2016) A sustainable method for optimizing product design with trade-off between life cycle cost and environmental impact. Environ Dev Sustain 1–14. doi:10.1007/s10668-016-9864-x

  14. Kuo TC, Chen HM, Liu CY, Tu JC, Yeh TC (2014) Applying multi-objective planning in low-carbon product design. Int J Precis Eng Manuf 15(2):241–249. doi:10.1007/s12541-014-0331-z

    Article  Google Scholar 

  15. Tao F, Bi LN, Zuo Y, Nee AYC (2016) A hybrid group leader algorithm for green material selection with energy consideration in product design. CIRP Ann Manuf Technol 65(1):9–12. doi:10.1016/j.Cirp.2016.04.086

    Article  Google Scholar 

  16. Chiang TA, Che ZH (2015) A decision-making methodology for low-carbon electronic product design. Decis Support Syst 71:1–13. doi:10.1016/j.dss.2015.01.004

    Article  Google Scholar 

  17. Chu CH, Luh YP, Li TC, Chen H (2009) Economical green product design based on simplified computer-aided product structure variation. Comput Ind 60(7):485–500. doi:10.1016/j.compind.2009.02.003

    Article  Google Scholar 

  18. Su JCP, Chu CH, Wang YT (2012) A decision support system to estimate the carbon emission and cost of product designs. Int J Precis Eng Manuf 13(7):1037–1045. doi:10.1007/s12541-012-0135-y

    Article  Google Scholar 

  19. Zhang XF, Zhang SY, Hu ZY, Yu G, Pei CH, Sa RN (2012) Identification of connection units with high GHG emissions for low-carbon product structure design. J Clean Prod 27:118–125. doi:10.1016/j.jclepro.2012.01.011

    Article  Google Scholar 

  20. Rao RV, Davim JP (2008) A decision-making framework model for material selection using a combined multiple attribute decision-making method. Int J Adv Manuf Technol 35(7):751–760. doi:10.1007/s00170-006-0752-7

    Article  Google Scholar 

  21. Jahan A, Mustapha F, Sapuan SM, Ismail MY, Bahraminasab M (2012) A framework for weighting of criteria in ranking stage of material selection process. Int J Adv Manuf Technol 58(1):411–420. doi:10.1007/s00170-011-3366-7

    Article  Google Scholar 

  22. Deng C, Wu J, Shao X (2016) Research on eco-balance with LCA and LCC for mechanical product design. Int J Adv Manuf Technol 87(5):1217–1228. doi:10.1007/s00170-013-4887-z

    Article  Google Scholar 

  23. Yan JH, Feng CH, Li L (2014) Sustainability assessment of machining process based on extension theory and entropy weight approach. Int J Adv Manuf Technol 71(5):1419–1431. doi:10.1007/s00170-013-5532-6

    Article  Google Scholar 

  24. Li H, Cao H, Pan X (2012) A carbon emission analysis model for electronics manufacturing process based on value-stream mapping and sensitivity analysis. Int J Comput Integr Manuf 25(12):1102–1110. doi:10.1080/0951192X.2012.684715

    Article  Google Scholar 

  25. Dai ZH, Scott MJ (2007) Product platform design through sensitivity analysis and cluster analysis. J Intell Manuf 18(1):97–113. doi:10.1007/s10845-007-0011-2

    Article  Google Scholar 

  26. Sivakumar K, Balamurugan C, Ramabalan S (2010) Evolutionary sensitivity-based conceptual design and tolerance allocation for mechanical assemblies. Int J Adv Manuf Technol 48(1):307–324. doi:10.1007/s00170-009-2256-8

    Article  Google Scholar 

  27. He B, Tang W, Huang S, Hou SC, Cai HX (2015) Towards low-carbon product architecture using structural optimization for lightweight. Int J Adv Manuf Technol:1–11. doi:10.1007/s00170-015-7676-z

  28. Neugebauer R, Drossel WG, Ihlenfeldt S, Harzbecker C (2009) Design method for machine tools with bionic inspired kinematics. CIRP Ann Manuf Technol 58(1):371–374. doi:10.1016/j.cirp.2009.03.089

    Article  Google Scholar 

  29. Martinez M, Xue DY (2016) Development of adaptable products based on modular design and optimization methods. Procedia CIRP 50:70–75. doi:10.1016/j.procir.2016.04.078

    Article  Google Scholar 

  30. Zhao L, Ma JF, Wang T, Xing DH (2010) Lightweight design of mechanical structures based on structural bionic methodology. J Bionic Eng 7:S224–S231. doi:10.1016/S1672-6529(09)60239-0

    Article  Google Scholar 

  31. Li BT, Hong J, Liu ZF (2017) A novel topology optimization method of welded box-beam structures motivated by low-carbon manufacturing concerns. J Clean Prod 142(part 4):2792–2803. doi:10.1016/j.jclepro.2016.10.189

    Article  MathSciNet  Google Scholar 

  32. Lu Q, Zhou GH, Zhu JK (2016) A calculation method of embodied carbon-energy for low-carbon products. Procedia CIRP 57:680–685. doi:10.1016/j.procir.2016.11.118

    Article  Google Scholar 

  33. Kara S, Li W (2011) Unit process energy consumption models for material removal processes. CIRP Ann Manuf Technol 60(1):37–40. doi:10.1016/j.cirp.2011.03.018

    Article  Google Scholar 

  34. Lu Q, Zhou GH, Zhou C, Xiao ZD (2016) A carbon emissions allocation method based on temperature field for products in the usage stage. Int J Adv Manuf Technol:1–13. doi:10.1007/s00170-016-9799-2

Download references

Author information

Authors and Affiliations

  1. School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, 710049, China

    Qi Lu, Guang-Hui Zhou, Feng-Tian Chang & Chang-Le Tian

  2. State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, 710054, China

    Guang-Hui Zhou

  3. School of Management, Xi’an Jiaotong University, Xi’an, 710049, China

    Zhong-Dong Xiao

Authors
  1. Qi Lu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Guang-Hui Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Zhong-Dong Xiao
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Feng-Tian Chang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Chang-Le Tian
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Guang-Hui Zhou.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lu, Q., Zhou, GH., Xiao, ZD. et al. A selection methodology of key parts based on the characteristic of carbon emissions for low-carbon design. Int J Adv Manuf Technol 94, 3359–3373 (2018). https://doi.org/10.1007/s00170-017-0522-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-017-0522-8

Keywords

Search

Navigation