Research Article
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Sustainable Optimization of Mold Heating: A Dual Approach with SWARA and MARCOS Methods

Year 2025, Early View, 1 - 1

Rahim Can Peker Asım Sinan Karakurt

https://doi.org/10.35378/gujs.1389497

Abstract

There are many methods and raw materials used in the manufacture of Fiber Reinforced Plastics (FRP) by hot molding, such as Sheet Molding Compound (SMC), Bulk Molding Compound (BMC), and Prepreg fabrics. In most applications, it is common practice to insert the new dough into the mold without cooling it, then re-press and cure. Placing the mold in the dough without cooling causes the surface of the molded product to cure faster than the inner region, resulting in a structurally discontinuous structure in the product. Therefore, in more professional production, the mold is lowered to around 120 oC and the dough is poured into the mold at this stage. However, this increases energy consumption and carbon emissions for the heating and cooling phases. This study investigated the energy efficiency of the production of FRP using the hot-pressing process. At the end of this study, by using alternative energy methods in the manufacturing processes, results such as investment costs, depreciation costs, reductions in bills, and carbon emissions were achieved. To find the best alternative from these results, the criteria weights were determined using SWARA, and the alternatives identified were ranked using the MARCOS method. As a result of this ranking, the best alternative was determined to be a 40 kWh battery and a 25 kW solar panel option among the solar panel power and battery capacity alternatives.

Keywords

Energy Efficiency Hot press manufacturing Multi-Criteria Decision Making Optimization

References

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  • [7] Hsieh, Y.C., and Doan, M. H., "Research on both the radiation heating and the cooling system inside the stretch blow molding machine CPSB-LSS12", The International Journal of Advanced Manufacturing Technology, 98 (9–12): 2357–2364, (2018).
  • [8] Yao, D., Nagarajan, P., Li, L., and Yi, A. Y., "A Strategy for Rapid Thermal Cycling of Molds in Thermoplastic Processing", Journal of Manufacturing Science and Engineering, 128(4): 837–843, (2006).
  • [9] Wang, G., Zhao, G., Li, H., and Guan, Y., "Research on optimization design of the heating/cooling channels for rapid heat cycle molding based on response surface methodology and constrained particle swarm optimization", Expert Systems with Applications, 38(6): 6705–6719, (2011).
  • [10] Liang, J.-Z., "An optimal design of cooling system for injection mold", Polymer-Plastics Technology and Engineering, 41(2): 261–271, (2002).
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  • [13] Wang, G., Zhao, G., and Wang, X., "Development and evaluation of a new rapid mold heating and cooling method for rapid heat cycle molding", International Journal of Heat and Mass Transfer, 78: 99–111, (2014).
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  • [17] Wang, M., Dong, J., Wang, W., Zhou, J., Dai, Z., Zhuang, X., and Yao, X., "Optimal design of medium channels for water-assisted rapid thermal cycle mold using multi-objective evolutionary algorithm and multi-attribute decision-making method", The International Journal of Advanced Manufacturing Technology, 68(9–12): 2407–2417, (2013).
  • [18] Zhao, G., Wang, G., Guan, Y., and Li, H., "Research and application of a new rapid heat cycle molding with electric heating and coolant cooling to improve the surface quality of large LCD TV panels: Research and Application of A New RHCM", Polymers For Advanced Technologies, 22(5): 476–487, (2011).
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  • [20] Jansen, K. M. B., "Heat transfer in injection moulding systems with insulation layers and heating elements", International Journal of Heat and Mass Transfer, 38(2): 309–316, (1995).
  • [21] Koksalan, M., Wallenius, J., and Zionts, S., "Multiple Criteria Decision Making: From Early History to the 21st Century", World Scientific Publishing Co. Pte. Ltd., Singapore, 198-212, (2011).
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  • [23] Das, P. P., and Chakraborty, S., "SWARA-CoCoSo method-based parametric optimization of green dry milling processes", Journal of Engineering and Applied Science, 69(1): 35, (2022).
  • [24] Yücenur, G. N., and Ipekçi, A., "SWARA/WASPAS methods for a marine current energy plant location selection problem", Renewable Energy, 163: 1287–1298, (2021).
  • [25] Ijadi Maghsoodi, A., Ijadi Maghsoodi, A., Mosavi, A., Rabczuk, T., and Zavadskas, E., "Renewable Energy Technology Selection Problem Using Integrated H-SWARA-MULTIMOORA Approach", Sustainability, 10(12): 4481, (2018).
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  • [31] Almutairi, K., Almutairi, M. S., Harb, K. M., and Marey, O., "A thorough investigation of renewable energy development strategies through integrated approach: A case study", Energy Sources, Part A: Recovery, Utilization, And Environmental Effects, 45(1): 708–726, (2023).
  • [32] Hosseini Dehshiri, S. S., "A new application of multi criteria decision making in energy technology in traditional buildings: A case study of Isfahan", Energy, 240: 122814, (2022).
  • [33] Keršuliene, V., Zavadskas, E. K., and Turskis, Z., "Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (Swara)", Journal of Business Economics And Management, 11(2): 243–258, (2010).
  • [34] Stević, Ž., Pamučar, D., Puška, A., and Chatterjee, P., "Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS)", Computers & Industrial Engineering, 140: 106231, (2020).
  • [35] "GEPA", https://gepa.enerji.gov.tr/MyCalculator/Default.aspx (2023).
  • [36] IRENA, "Renewable Power Generation Costs in 2022", (2023).
  • [37] Internet: EMRA, "Tariff Tables Based on Electricity Bills", https://www.epdk.gov.tr/Detay/Icerik/3-1327/elektrik-faturalarina-esas-tarife-tablolari, (2023).

Year 2025, Early View, 1 - 1

Rahim Can Peker Asım Sinan Karakurt

https://doi.org/10.35378/gujs.1389497

Abstract

References

  • [1] Advani, S. G., and Hsiao, K.-T., "Introduction to composites and manufacturing processes", Manufacturing Techniques for Polymer Matrix Composites (PMCs), Woodhead Publishing, 1–12, (2012).
  • [2] Leoni, L., Cantini, A., De Carlo, F., Salvio, M., Martini, C., Toro, C., and Martini, F., "Energy-Saving Technology Opportunities and Investments of the Italian Foundry Industry", Energies, 14 (24): 8470, (2021).
  • [3] Todd, R., Allen, D. K., and Alting, L., "Manufacturing Processes Reference Guide", 4th edition. Ed., Industrial Press, Inc., New York, NY, 486, (1994).
  • [4] Hyatt, J. S., and Hyatt, J. W., "Improvement in Process and Apparatus for Manufacturing Pyroxyline", New York, NY, (1872).
  • [5] Kent, R., "Energy Management in Plastics Processing: Strategies, Targets, Techniques, and Tools", 3rd edition. Ed., Elsevier, Amsterdam, 420, (2019).
  • [6] Wang, G., Zhao, G., Li, H., and Guan, Y., "Multi-objective optimization design of the heating/cooling channels of the steam-heating rapid thermal response mold using particle swarm optimization", International Journal of Thermal Sciences, 50 (5): 790–802, (2011).
  • [7] Hsieh, Y.C., and Doan, M. H., "Research on both the radiation heating and the cooling system inside the stretch blow molding machine CPSB-LSS12", The International Journal of Advanced Manufacturing Technology, 98 (9–12): 2357–2364, (2018).
  • [8] Yao, D., Nagarajan, P., Li, L., and Yi, A. Y., "A Strategy for Rapid Thermal Cycling of Molds in Thermoplastic Processing", Journal of Manufacturing Science and Engineering, 128(4): 837–843, (2006).
  • [9] Wang, G., Zhao, G., Li, H., and Guan, Y., "Research on optimization design of the heating/cooling channels for rapid heat cycle molding based on response surface methodology and constrained particle swarm optimization", Expert Systems with Applications, 38(6): 6705–6719, (2011).
  • [10] Liang, J.-Z., "An optimal design of cooling system for injection mold", Polymer-Plastics Technology and Engineering, 41(2): 261–271, (2002).
  • [11] Wang, G., Zhao, G., and Wang, X., "Heating/cooling channels design for an automotive interior part and its evaluation in rapid heat cycle molding", Materials & Design, 59: 310–322, (2014).
  • [12] Rashid, O., Low, K. W. Q., and Pittman, J. F. T., "Mold cooling in thermoplastics injection molding: Effectiveness and energy efficiency", Journal of Cleaner Production, 264: 121375, (2020).
  • [13] Wang, G., Zhao, G., and Wang, X., "Development and evaluation of a new rapid mold heating and cooling method for rapid heat cycle molding", International Journal of Heat and Mass Transfer, 78: 99–111, (2014).
  • [14] Park, H.-S., Dang, X. P., Nguyen, D.-S., and Kumar, S., "Design of Advanced Injection Mold to Increase Cooling Efficiency", International Journal of Precision Engineering and Manufacturing-Green Technology, 7(2): 319–328, (2020).
  • [15] Bolatturk, A., Ipek, O., Kurtulus, K., and Kan, M., "Design of conformal cooling channels using numerical methods in a metal mold and calculating exergy destruction in channels", Scientia Iranica B, 26(6): 3255–3261, (2019).
  • [16] Feng, S., Kamat, A. M., and Pei, Y., "Design and fabrication of conformal cooling channels in molds: Review and progress updates", International Journal of Heat and Mass Transfer, 171: 121082, (2021).
  • [17] Wang, M., Dong, J., Wang, W., Zhou, J., Dai, Z., Zhuang, X., and Yao, X., "Optimal design of medium channels for water-assisted rapid thermal cycle mold using multi-objective evolutionary algorithm and multi-attribute decision-making method", The International Journal of Advanced Manufacturing Technology, 68(9–12): 2407–2417, (2013).
  • [18] Zhao, G., Wang, G., Guan, Y., and Li, H., "Research and application of a new rapid heat cycle molding with electric heating and coolant cooling to improve the surface quality of large LCD TV panels: Research and Application of A New RHCM", Polymers For Advanced Technologies, 22(5): 476–487, (2011).
  • [19] Chang, P.-C., and Hwang, S.-J., "Experimental investigation of infrared rapid surface heating for injection molding", Journal of Applied Polymer Science, 102(4): 3704–3713, (2006).
  • [20] Jansen, K. M. B., "Heat transfer in injection moulding systems with insulation layers and heating elements", International Journal of Heat and Mass Transfer, 38(2): 309–316, (1995).
  • [21] Koksalan, M., Wallenius, J., and Zionts, S., "Multiple Criteria Decision Making: From Early History to the 21st Century", World Scientific Publishing Co. Pte. Ltd., Singapore, 198-212, (2011).
  • [22] Tus, A., and Adali, E. A., "Green Supplier Selection Based on the Combination of Fuzzy SWARA (SWARA-F) and Fuzzy MARCOS (MARCOS-F) Methods", Gazi University Journal of Science, 35 (4): 1535–1554, (2022).
  • [23] Das, P. P., and Chakraborty, S., "SWARA-CoCoSo method-based parametric optimization of green dry milling processes", Journal of Engineering and Applied Science, 69(1): 35, (2022).
  • [24] Yücenur, G. N., and Ipekçi, A., "SWARA/WASPAS methods for a marine current energy plant location selection problem", Renewable Energy, 163: 1287–1298, (2021).
  • [25] Ijadi Maghsoodi, A., Ijadi Maghsoodi, A., Mosavi, A., Rabczuk, T., and Zavadskas, E., "Renewable Energy Technology Selection Problem Using Integrated H-SWARA-MULTIMOORA Approach", Sustainability, 10(12): 4481, (2018).
  • [26] Karaaslan, A., Adar, T., and Delice, E. K., "Regional evaluation of renewable energy sources in Turkey by new integrated AHP-MARCOS methodology: a real application", International Journal of Sustainable Energy, 41(2): 103–125, (2022).
  • [27] Wu, P., Zhao, G., and Li, Y., "Green Mining Strategy Selection via an Integrated SWOT-PEST Analysis and Fuzzy AHP-MARCOS Approach", Sustainability, 14(13): 7577, (2022).
  • [28] Engi̇n, O., Sarucan, A., and Baysal, M. E., "Analysis of renewable energy alternatives with the multi-criteria decision making methods for Turkey", International Journal of Social Humanities Sciences Research (JSHSR), 5(23): 1223–1231, (2018).
  • [29] Albayrak, O. K., "Multi Criteria Decision Making Techniques Used in Evaluation of Renewable Energy Resources and Analysis of Evaluation Criteria: 2017-2020", Atatürk University Journal of Economics and Administrative Sciences, 34(4): 1287–1310, (2020).
  • [30] Almutairi, K., Hosseini Dehshiri, S. J., Hosseini Dehshiri, S. S., Mostafaeipour, A., Hoa, A. X., and Techato, K., "Determination of optimal renewable energy growth strategies using SWOT analysis, hybrid MCDM methods, and game theory: A case study", International Journal of Energy Research, 46(5): 6766–6789, (2022).
  • [31] Almutairi, K., Almutairi, M. S., Harb, K. M., and Marey, O., "A thorough investigation of renewable energy development strategies through integrated approach: A case study", Energy Sources, Part A: Recovery, Utilization, And Environmental Effects, 45(1): 708–726, (2023).
  • [32] Hosseini Dehshiri, S. S., "A new application of multi criteria decision making in energy technology in traditional buildings: A case study of Isfahan", Energy, 240: 122814, (2022).
  • [33] Keršuliene, V., Zavadskas, E. K., and Turskis, Z., "Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (Swara)", Journal of Business Economics And Management, 11(2): 243–258, (2010).
  • [34] Stević, Ž., Pamučar, D., Puška, A., and Chatterjee, P., "Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS)", Computers & Industrial Engineering, 140: 106231, (2020).
  • [35] "GEPA", https://gepa.enerji.gov.tr/MyCalculator/Default.aspx (2023).
  • [36] IRENA, "Renewable Power Generation Costs in 2022", (2023).
  • [37] Internet: EMRA, "Tariff Tables Based on Electricity Bills", https://www.epdk.gov.tr/Detay/Icerik/3-1327/elektrik-faturalarina-esas-tarife-tablolari, (2023).
There are 37 citations in total.

Details

Primary Language English
Subjects Optimization Techniques in Mechanical Engineering, Multiple Criteria Decision Making
Journal Section Research Article
Authors

Rahim Can Peker 0000-0002-3226-5746

Asım Sinan Karakurt 0000-0002-6205-9089

Early Pub Date May 18, 2024
Publication Date
Submission Date November 11, 2023
Acceptance Date April 29, 2024
Published in Issue Year 2025 Early View

Cite

APA Peker, R. C., & Karakurt, A. S. (2024). Sustainable Optimization of Mold Heating: A Dual Approach with SWARA and MARCOS Methods. Gazi University Journal of Science1-1. https://doi.org/10.35378/gujs.1389497
AMA Peker RC, Karakurt AS. Sustainable Optimization of Mold Heating: A Dual Approach with SWARA and MARCOS Methods. Gazi University Journal of Science. Published online May 1, 2024:1-1. doi:10.35378/gujs.1389497
Chicago Peker, Rahim Can, and Asım Sinan Karakurt. “Sustainable Optimization of Mold Heating: A Dual Approach With SWARA and MARCOS Methods”. Gazi University Journal of Science, May (May 2024), 1-1. https://doi.org/10.35378/gujs.1389497.
EndNote Peker RC, Karakurt AS (May 1, 2024) Sustainable Optimization of Mold Heating: A Dual Approach with SWARA and MARCOS Methods. Gazi University Journal of Science 1–1.
IEEE R. C. Peker and A. S. Karakurt, “Sustainable Optimization of Mold Heating: A Dual Approach with SWARA and MARCOS Methods”, Gazi University Journal of Science, pp. 1–1, May 2024, doi: 10.35378/gujs.1389497.
ISNAD Peker, Rahim Can - Karakurt, Asım Sinan. “Sustainable Optimization of Mold Heating: A Dual Approach With SWARA and MARCOS Methods”. Gazi University Journal of Science. May 2024. 1-1. https://doi.org/10.35378/gujs.1389497.
JAMA Peker RC, Karakurt AS. Sustainable Optimization of Mold Heating: A Dual Approach with SWARA and MARCOS Methods. Gazi University Journal of Science. 2024;:1–1.
MLA Peker, Rahim Can and Asım Sinan Karakurt. “Sustainable Optimization of Mold Heating: A Dual Approach With SWARA and MARCOS Methods”. Gazi University Journal of Science, 2024, pp. 1-1, doi:10.35378/gujs.1389497.
Vancouver Peker RC, Karakurt AS. Sustainable Optimization of Mold Heating: A Dual Approach with SWARA and MARCOS Methods. Gazi University Journal of Science. 2024:1-.