PDF

Defects and remedies in casting processes: a combinatorial approach between manual and digital optimization technique for enhanced quality casting

Anayet Ullah Patwari, Shah Alam Bhuiyan

2024encastingoptimizationqualityautomationartificial intelligence

Abstract

Language:

This review paper provides a comprehensive investigation on problems encountered in casting practices, integrating insights from diverse research areas within the field of sand casting along with the most probable and effective remedies of those problems. The study revolves around three main themes: the optimization of sand-casting processes, the selection of binders for sand-casting, and the transformative impact of artificial intelligence (AI) and advanced control systems in foundry and steel casting processes. Our paper also highlights the significance of both digital and manual optimization techniques in sand casting processes, emphasizing the transformative impact of AI technologies like Artificial Neural Networks (ANN), Fuzzy Logic, and Genetic Algorithms for enhancing efficiency, accuracy, and automation. These digital methods enable data-driven decision-making and continuous process improvement, leading to higher quality and reduced defects. Meanwhile, manual optimization, relying on the expertise and adaptability of foundry professionals, complements digital approaches by providing hands-on problem-solving and flexibility in complex scenarios. Together, these approaches enhance casting quality, reduce costs, promote sustainability, and maintain industry competitiveness, offering a comprehensive framework for modernizing sand casting.

Download

Cite This Work

@article{3532c184-86eb-45db-af04-04462391d229,
  title={Defects and remedies in casting processes: a combinatorial approach between manual and digital optimization technique for enhanced quality casting},
  author={Anayet Ullah Patwari and Shah Alam Bhuiyan},
  year={2024},
  language={en}
}
TY  - JOUR
TI  - Defects and remedies in casting processes: a combinatorial approach between manual and digital optimization technique for enhanced quality casting
AU  - Anayet Ullah Patwari
AU  - Shah Alam Bhuiyan
PY  - 2024
LA  - en
ER  -

Similar Items

Gold Extraction - Bigger and better

John Chadwick

This article surveys contemporary technological developments aimed at enhancing the efficiency, selectivity, and sustainability of gold extraction and

2007enPDF

Artificial intelligence-aided materials design: AI-algorithms and case studies on alloys and metallurgical processes

Rajesh Jha, Bimal Kumar Jha

This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t

2022enPDF

Metal Casting Processes

Unknown, Unknown

This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu

2023enPDF

BLAST FURNACE IRONMAKING: Analysis, Control, and Optimization

Ian Cameron, Mitren Sukhram

This book delves into the intricate processes involved in blast furnace ironmaking, emphasizing the analysis, control, and optimization of operations.

2020enPDF

Effect of Roasting Temperature for Copper Leaching of Sulfide Concentrate by Combined Methods

Introduction Concerns over air pollution and the environmental problem of acid rain have made governments all over the world tighten their regulations

2023enPDF

Optimization of sulfuric acid leaching of roasted chalcopyrite concentrate with Box–Wilson experimental design

İbrahim Sönmez, Kemal Şahbudak

Chalcopyrite (CuFeS2) is commonly used ore in the production of copper, but leaching of this ore is very slow and inefficient due to “passivation” dur

2020enPDF