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Precision Mechanics & Digital Fabrication
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Precision Mechanics & Digital Fabrication (PMDF)
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ISSN (print): 3006-9734
ISSN (online): 3006-9742
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2024: Vol. 1
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Precision Mechanics & Digital Fabrication (PMDF) emerges as a forefront publication in the nexus of advanced mechanical engineering and digital manufacturing technologies. Distinguished by its innovative focus, PMDF is a peer-reviewed, open-access journal that bridges theoretical insights with the practical applications of precision engineering and digital fabrication. It aims to enrich the discourse on the transformative impact of digital technologies and precision mechanics on manufacturing, design, and innovation. PMDF stands out by highlighting the cutting-edge developments and sustainable practices within the field, making it a unique resource for researchers and practitioners alike. Published quarterly by Acadlore, PMDF releases its insightful issues in March, June, September, and December, fostering the ongoing exchange of pioneering ideas and advancements.

  • Professional Service - Every article submitted undergoes an intensive yet swift peer review and editing process, adhering to the highest publication standards.

  • Prompt Publication - Thanks to our proficiency in orchestrating the peer-review, editing, and production processes, all accepted articles see rapid publication.

  • Open Access - Every published article is instantly accessible to a global readership, allowing for uninhibited sharing across various platforms at any time.

Editor(s)-in-chief（2）
ivan mihajlović
University of Belgrade, Serbia
imihajlovic@mas.bg.ac.rs | website
Research interests: Industrial Engineering; Technological Processes Optimization; Numerical Analysis and Modelling
guolei wang
Tsinghua University, China
wangguolei@tsinghua.edu.cn | website
Research interests: Robotics; Advanced Aeronautical Manufacturing Technology and Special Robot

Aims & Scope

Aims

Precision Mechanics & Digital Fabrication (PMDF) is a premier scholarly platform committed to advancing the boundaries of knowledge at the confluence of precision engineering, mechanical processes, and digital fabrication techniques. The journal is rooted in the recognition of the pivotal role that precise mechanical engineering and digital fabrication methods play in modern manufacturing, design, innovation, and the broader industrial landscape. PMDF aims to explore the intricate relationship between cutting-edge mechanical precision and digital technologies, understanding how this synergy drives innovation, efficiency, and sustainability in fabrication processes.

PMDF is particularly interested in how advancements in precision mechanics and digital fabrication technologies foster new manufacturing paradigms, enhance product design and functionality, and contribute to the sustainability and resilience of production processes. The journal aspires to illuminate the challenges and opportunities presented by the integration of high-precision engineering with digital technologies, including 3D printing, CNC machining, and other digital manufacturing processes.

By encouraging the submission of research that breaks new ground, offers critical insights, or provides empirical evidence that propels forward theoretical frameworks, PMDF aims to be the definitive source for researchers, practitioners, and policymakers seeking to grasp the nuances of how precision mechanics and digital fabrication shape the future of manufacturing, design, and technology.

Furthermore, PMDF highlights the following features:

  • Every publication benefits from prominent indexing, ensuring widespread recognition.

  • A distinguished editorial team upholds unparalleled quality and broad appeal.

  • Seamless online discoverability of each article maximizes its global reach.

  • An author-centric and transparent publication process enhances submission experience.

Scope

The scope of PMDF encompasses, but is not limited to, the following areas:

  • Advanced Manufacturing Technologies: Investigating cutting-edge manufacturing processes, including 3D printing, CNC machining, laser cutting, and their impact on design, efficiency, and sustainability.

  • Precision Engineering and Metrology: Delving into the principles of precision engineering, metrology, and their applications in enhancing manufacturing accuracy and quality.

  • Digital Fabrication and Design: Exploring the integration of digital tools in the design and manufacturing process, including CAD/CAM, simulation, and prototyping.

  • Materials Science in Precision Manufacturing: Examining the role of advanced materials and composites in precision manufacturing, focusing on material properties, processing, and application.

  • Automation and Robotics in Manufacturing: Analyzing the deployment of automation, robotics, and AI in enhancing precision, productivity, and flexibility in manufacturing processes.

  • Sustainable Manufacturing Practices: Investigating sustainable and green manufacturing practices within the context of precision mechanics and digital fabrication.

  • Smart Manufacturing and Industry 4.0: Exploring the implications of smart manufacturing practices, IoT, and Industry 4.0 technologies on the future of precision mechanics and digital fabrication.

  • Microfabrication and Nanotechnology: Delving into the challenges and innovations in microfabrication and nanotechnology for applications in electronics, healthcare, and materials engineering.

  • Additive Manufacturing Strategies: Studying additive manufacturing strategies for complex geometries, customization, and novel applications across industries.

  • Digital Twin Technologies: Examining the role and impact of digital twin technologies in optimizing manufacturing processes and product lifecycle management.

  • Cyber-Physical Systems in Manufacturing: Investigating the integration and impact of cyber-physical systems in the manufacturing environment for enhanced control, monitoring, and decision-making.

  • Customization and Personalization in Production: Analyzing trends and technologies enabling customization and personalization at scale through digital fabrication methods.

  • Supply Chain Integration and Logistics: Exploring the impact of precision mechanics and digital fabrication on supply chain optimization, logistics, and global manufacturing networks.

  • Workforce Development and Skills Training: Assessing the implications of advanced manufacturing technologies on workforce development, skill requirements, and education.

Articles
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Abstract

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This investigation addresses the issue of premature failure or damage to bearing components in aeroengines, which often results from the release of dissolved gases in the lubricant due to environmental pressure changes during operation. Employing the three-dimensional Reynolds equation and focusing on an ideal lubricating oil, a lubrication model for the engine camshaft's oil film was developed. The formation and extent of gaseous voids within plain bearings were analyzed. The study systematically explored how fit clearance and lubricating oil viscosity influence oil film pressure and thickness. It was found that a reduced fit gap increases the oil film pressure gradient while decreasing the film's thickness. Additionally, although variations in lubricating oil viscosity do not affect the distribution of oil film thickness, they significantly impact the pressure exerted on the oil film, with higher viscosities leading to increased pressures. These findings provide essential theoretical guidance for the safety assessment of aeroengine plain bearings.

Abstract

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Limitations inherent in conventional rule generation methodologies, particularly concerning knowledge redundancy and efficiency in product design, are addressed through the adoption of a rough set-based approach in this study. An enhancement to the Ant Colony Optimization (ACO) algorithm's information gain ratio is introduced by integrating a redundancy detection mechanism, which notably accelerates the convergence process. Furthermore, the application of a classification consistency algorithm effectively minimizes the number of attributes, facilitating the extraction of potential associative rules. Comparative validation performed on a public dataset demonstrates that the proposed attribute reduction approach surpasses existing methods in terms of attribute count reduction, reduction rate, and execution time. When applied to an automotive design case study, the approach yields rules with 100% coverage and accuracy, characterized by a reduced average number of attributes per rule. These findings underscore the superiority of the rough set-based methodology in generating product design rules, providing a robust framework that enhances both the precision and applicability of the design process.

Abstract

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In the automated production line for suspended insulators, precise alignment of the U-shaped notch in iron caps is crucial for effective gluing. This study introduces a system based on machine vision that automates the alignment process. The system initially preprocesses the images of iron caps to segment the U-shaped contour. It utilizes the method of quadratic maximum contour connectivity domain to accurately identify the target U-shaped region. The alignment process involves calculating the coordinates of the largest external rectangle's longest edge and the external circle's center point. These coordinates are instrumental in determining the necessary rotation angle for proper notch alignment. The fixture then adjusts the iron cap based on this calculated angle, ensuring precise alignment. Experimental validations of this system have demonstrated a notch alignment error within 0.5 degrees with 96.51% accuracy and an error within 1 degree with 100% accuracy. The algorithm's execution time is a swift 0.034 seconds. Both the error margins and operational speed satisfy the stringent requirements of the automatic production line.

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