%0 Journal Article %1 heramb_kailash_magdum_2024_10947048 %A Magdum, Heramb Kailash %A Naik, Girish Ramchandra %A Naik, Poornima Girish %D 2024 %J Global Journal of Engineering and Technology Advances %K Aluminium Castings %N 3 %P 029–035 %R 10.30574/gjeta.2023.17.3.0245 %T A comprehensive review on state-of-the-art applications of case based reasoning in aluminum foundries %U https://gjeta.com/content/comprehensive-review-state-art-applications-case-based-reasoning-aluminum-foundries %V 17 %X An Aluminium Foundry offers multiple opportunities for implementing expert systems across various domains, including component design, process planning, rejection reduction, and determining parameter values for Die-to-Die Design to achieve cost benefits. Considering the projected growth of the Global Aluminium Die Casting market at a 15 percent CAGR until 2025, one of the key hurdles to this growth lies in the requirement for substantial investments. This paper explores the diverse applications of expert systems in different aspects of aluminium casting, focusing on the utilization of Case-Based Reasoning (CBR) systems within Aluminium foundries. Case-Based Reasoning, a problem-solving approach, leverages past cases resembling the current problem to guide solutions for new challenges. The review encompasses various expert systems applied in aluminium casting and specifically highlights the application of Case-Based Reasoning systems. Additionally, it identifies gaps within the Die Design Support System for Gravity Die Casting utilizing Case-Based Reasoning, aiming to delve deeper into this particular area for potential improvements.

@article{heramb_kailash_magdum_2024_10947048, abstract = {An Aluminium Foundry offers multiple opportunities for implementing expert systems across various domains, including component design, process planning, rejection reduction, and determining parameter values for Die-to-Die Design to achieve cost benefits. Considering the projected growth of the Global Aluminium Die Casting market at a 15 percent CAGR until 2025, one of the key hurdles to this growth lies in the requirement for substantial investments. This paper explores the diverse applications of expert systems in different aspects of aluminium casting, focusing on the utilization of Case-Based Reasoning (CBR) systems within Aluminium foundries. Case-Based Reasoning, a problem-solving approach, leverages past cases resembling the current problem to guide solutions for new challenges. The review encompasses various expert systems applied in aluminium casting and specifically highlights the application of Case-Based Reasoning systems. Additionally, it identifies gaps within the Die Design Support System for Gravity Die Casting utilizing Case-Based Reasoning, aiming to delve deeper into this particular area for potential improvements.}, added-at = {2024-04-10T09:48:26.000+0200}, author = {Magdum, Heramb Kailash and Naik, Girish Ramchandra and Naik, Poornima Girish}, biburl = {https://www.bibsonomy.org/bibtex/2ce3a4636fbf5986fe2a2d5defd5f8ce8/gjetajournal}, doi = {10.30574/gjeta.2023.17.3.0245}, interhash = {29d429669721fe89a915054bc9ce9fad}, intrahash = {ce3a4636fbf5986fe2a2d5defd5f8ce8}, issn = {2582-5003}, journal = {{Global Journal of Engineering and Technology Advances}}, keywords = {Aluminium Castings}, month = apr, number = 3, pages = {029–035}, timestamp = {2024-04-10T09:48:26.000+0200}, title = {A comprehensive review on state-of-the-art applications of case based reasoning in aluminum foundries}, url = {https://gjeta.com/content/comprehensive-review-state-art-applications-case-based-reasoning-aluminum-foundries}, volume = 17, year = 2024 }