Results 21 to 30 of about 3,481 (53)

Automation of unstructured production environment by applying reinforcement learning

open access: yesFrontiers in Manufacturing Technology, 2023
Implementation of Machine Learning (ML) to improve product and production development processes poses a significant opportunity for manufacturing industries. ML has the capability to calibrate models with considerable adaptability and high accuracy. This
Sanjay Nambiar   +2 more
doaj   +1 more source

Efficiency measurement based on novel performance measures in total productive maintenance (TPM) using a fuzzy integrated COPRAS and DEA method

open access: yesFrontiers in Manufacturing Technology, 2023
Total Productive Maintenance (TPM) has been widely recognized as a strategic tool and lean manufacturing practice for improving manufacturing performance and sustainability, and therefore it has been successfully implemented in many organizations.
Ebru Turanoglu Bekar
doaj   +1 more source

Bayesian experimental design in production engineering: a comprehensive performance and robustness study

open access: yesFrontiers in Manufacturing Technology
In production engineering, the identification of optimal process parameters is essential to advance product quality and overall equipment effectiveness.
Lars Leyendecker   +6 more
doaj   +1 more source

Leveraging I4.0 smart methodologies for developing solutions for harvesting produce

open access: yesFrontiers in Manufacturing Technology, 2023
Leveraging Computer-Aided Design (CAD) and Manufacturing (CAM) tools with advanced Industry 4.0 (I4.0) technologies presents numerous opportunities for industries to optimize processes, improve efficiency, and reduce costs.
Ava Recchia, Jill Urbanic
doaj   +1 more source

Domain adaptation of large language models for additive manufacturing using retrieval-augmented generation and fine-tuning

open access: yesFrontiers in Manufacturing Technology
IntroductionGeneral-purpose large language models (LLMs) often struggle to generate reliable responses in specialized engineering domains due to limited domain grounding and insufficient exposure to structured technical knowledge. This study investigates
Saiful Islam Sagor   +6 more
doaj   +1 more source

Tool design for low-frequency vibration cutting on surface property

open access: yesFrontiers in Manufacturing Technology, 2023
Low-frequency vibration cutting is a machining technology in which chips are broken by applying periodic vibrations along a specific axis. Periodic vibration deteriorates the surface roughness and roundness of the workpiece when compared to without ...
Shogo Nakamura   +6 more
doaj   +1 more source

Investigating the efficiency of mixtures based on supercritical CO2 and lubricants by friction tests under conditions similar to the machining of Ti6Al4V

open access: yesFrontiers in Manufacturing Technology
New supercritical carbon dioxide (scCO2)-based cutting fluids combining the cooling from scCO2 and lubrication from various additives are investigated in this study. Selected components, including ionic liquids, vegetable and mineral oils, water, and PEG,
Koffi Samuel Koulekpa   +4 more
doaj   +1 more source

Influence of material orientation, loading angle, and single-shot repetition of laser shock peening on surface roughness properties

open access: yesFrontiers in Manufacturing Technology
Titanium alloy Ti6Al4V is extensively utilized in biomedical applications due to its excellent biocompatibility, corrosion resistance, and mechanical properties.
Lebogang Lebea   +4 more
doaj   +1 more source

A review of flexible robotic gripping systems

open access: yesFrontiers in Manufacturing Technology
The rapid advancement and expanding application of robotics in various sectors necessitate the development of versatile and efficient gripping systems. Robotic grippers, serving as the primary interface between robots and the physical world, are pivotal ...
Bahadir Tarhan   +3 more
doaj   +1 more source

A development framework for human work integrated AI systems in manufacturing

open access: yesFrontiers in Manufacturing Technology
Integrating AI-driven applications in manufacturing processes holds immense potential for enhancing production performance. However, adopting AI technology in manufacturing presents significant challenges, including the frequent need for human and AI ...
Yuji Yamamoto   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy