A comprehensive review on state-of-the-art applications of case based reasoning in aluminum foundries

Global Journal of Engineering and Technology Advances Pub Date : 2023-12-30 DOI:10.30574/gjeta.2023.17.3.0245

Heramb Kailash Magdum, Girish Ramchandra Naik, Poornima Girish Naik

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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.

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基于案例的推理在铝铸造厂的最新应用综述

铝铸造厂为在各个领域实施专家系统提供了多种机会，包括部件设计、工艺规划、降低废品率以及确定模对模设计的参数值，从而实现成本效益。预计到 2025 年，全球铝压铸市场将以 15% 的复合年增长率增长，但这一增长的主要障碍之一是需要大量投资。本文探讨了专家系统在铝铸造不同方面的各种应用，重点是铝铸造厂对基于案例的推理（CBR）系统的利用。案例推理是一种解决问题的方法，它利用与当前问题相似的以往案例来指导解决新挑战的方案。审查涵盖了应用于铝铸造的各种专家系统，并特别强调了基于案例的推理系统的应用。此外，该报告还指出了利用案例推理法的重力铸造模具设计支持系统的不足之处，旨在深入研究这一特定领域，以获得潜在的改进。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Global Journal of Engineering and Technology Advances

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