As the industrial requirements change at a rapid pace due to the drastic evolution of technology, the necessity of quickly investigating potential system alternatives towards a more efficient manuf...

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2019.1636321

Simulation in the design and operation of manufacturing systems: state of the art and new trends

Estimation of tool wear during CNC milling using neural network-based sensor fusion

Machining is one of the most important and widely used manufacturing processes. Due to complexity and uncertainty of the machining processes, of late, soft computing techniques are being preferred to physics-based models for predicting the performance of the machining processes and optimizing them. Major soft computing tools applied for this purpose are neural networks, fuzzy sets, genetic algorithms, simulated annealing, ant colony optimization, and particle swarm optimization. The present paper reviews the application of these tools to four machining processes—turning, milling, drilling, and grinding. The paper highlights the progress made in this area and discusses the issues that need to be addressed.

Application of soft computing techniques in machining performance prediction and optimization: a literature review

This paper presents a review of the state-of-the-art in sensors and signal processing methodologies used for tool condition monitoring (TCM) systems in industrial machining applications. The paper focuses on the technologies used in monitoring conventional cutting operations, including drilling, turning, end milling and face milling, and presents important findings related to each of these fields. Unlike existing reviews, which categorize results according to the methodology used, this paper presents results organized according to the type of machining operation carried out. By extensively reviewing and categorizing over one hundred important papers and articles, this paper is able to identify and comment on trends in TCM research, and to identify potential weaknesses in certain areas. The paper concludes with a list of recommendations for future research based on the trends and successful results observed, thus facilitating the cross-fertilization of ideas and techniques within the field of TCM research.

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State-of-the-art methods and results in tool condition monitoring: a review

Industry 4.0 (I4.0) encompasses a plethora of digital technologies effecting on manufacturing enterprises. Most research on this topic examines the effects in the smart factory domain, focusing on ...

The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review

Virtual reality applications in manufacturing process simulation

Integrated manufacturing features and Design-for-manufacture guidelines for reducing product cost under CAD/CAM environment

Cutting force modeling using artificial neural networks

A DC motor based cutting tool condition monitoring system

The desk-and-chair and chair-with-mounted-desktop furniture are widely used in the classrooms of Bangladeshi universities. However, an anthropometric survey showed that the fixed-type and side-mounted-desktop-chair used by university students in Bangladesh were not manufactured according to ergonomic considerations. The study evaluated the potential mismatch between university classroom furniture dimensions and anthropometric characteristics of 500 Bangladeshi university students. Fifteen anthropometric measurements and nine dimensions from the existing classroom furniture were measured and then compared together to identify any potential mismatch between them. The paper showed the variation between the anthropometric measurements of students and the dimensions of existing furniture. The results indicated that the seat height of both desk-and-chair and side-mounted-desktop-chair was high, while the desk height of desk-and-chair was high and that of side-mounted desktop chair was low for the students. The ...

T. Szecsi

Papers

Virtual reality applications in manufacturing process simulation

Integrated manufacturing features and Design-for-manufacture guidelines for reducing product cost under CAD/CAM environment

Cutting force modeling using artificial neural networks

A DC motor based cutting tool condition monitoring system

Ergonomic design of classroom furniture for university students of Bangladesh