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Applied Sciences
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Advances in Computer-Aided Manufacturing (CAM)
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Advances in Computer-Aided Manufacturing (CAM)

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Additive Manufacturing Technologies".

Deadline for manuscript submissions: 20 July 2024 | Viewed by 3927

Special Issue Editors

Dr. Xin Jiang

E-Mail Website
Guest Editor
Institute of Artificial Intelligence, Beihang University, Beijing 100191, China
Interests: CAD/CAM; CNC machining; industrial big data; computational geometry
Dr. Chun-Ming Yuan

E-Mail Website
Guest Editor
KLMM, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
Interests: symbolic computation; mathematics mechanization; constructive differential and difference algebra; computer aided design and manufacturing; mathematical methods in CNC machining
Dr. Jinbo Niu

E-Mail Website
Guest Editor
School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China
Interests: intelligent adaptive machining technologies; machining dynamics of low-stiffness parts; robotic machining
Dr. Guijian Xiao

E-Mail Website
Guest Editor
College of Mechanical and Vehicle Engineering, Chongqing University, No.174, Shazhengjie, Shapingba, Chongqing 400444, China
Interests: grinding; polishing; surface integrity; bionic manufacturing; functional surface; micro/nano manufacturing; grinding process and mechanism
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Computer-aided manufacturing (CAM) provides efficient and automatable computer and machinery technologies to facilitate manufacturing procedures with high degrees of accuracy and precision. The emergence of modern digital, computer, and manufactory innovations (such as artificial intelligence (AI), virtual manufacturing, 3D printing, intelligent robots, ultra-precision machining, etc.) has posed new challenges in the advancement of computer-aided manufacturing, as well as regarding algorithms and software solutions. Therefore, this Special Issue intends to present new ideas, advanced manufacturing technologies, and high-quality experimental results in the field of CAM from models, algorithms, integrated systems, and practical use theory and applications. Areas and topics relevant to computer-aided manufacturing include, but are not strictly limited to, the following fields:

  • Tooling and tool paths in high-speed machining and robotics;
  • Streamlining of tool paths;
  • CAM for multi-function and five-axis machining;
  • CNC feature recognition and machining;
  • The automation of machining processes;
  • Production and engineering design;
  • Equipment safety;
  • Manufacturing planning, optimization, and simulation;
  • Ease of use;
  • Human–machine interaction;
  • The application of artificial intelligence (AI) in CAM;
  • Smart CAM software and evaluation;
  • Computer-integrated manufacturing;
  • Sustainable and green manufacturing;
  • Relevant case studies.

Dr. Xin Jiang
Dr. Chun-Ming Yuan
Dr. Jinbo Niu
Dr. Guijian Xiao
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • tool path planning
  • CNC
  • additive manufacturing
  • smart manufacturing
  • virtual manufacturing
  • precision engineering
  • inspection, measurement and metrology
  • robotics, mechatronics and manufacturing automation

Published Papers (2 papers)

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Research

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13 pages, 2641 KiB  
Article
Inertial Propulsion of a Mobile Platform Driven by Two Eccentric Bodies
by Stelica Timofte, Calin-Octavian Miclosina, Vasile Cojocaru, Attila Gerocs and Zoltan-Iosif Korka
Appl. Sci. 2023, 13(17), 9511; https://doi.org/10.3390/app13179511 - 22 Aug 2023
Viewed by 1144
Abstract
In recent decades, enthusiasts and researchers from all over the world have invested a lot of energy and time in trying to develop linear propulsion systems using the inertial force generated by two masses revolving in opposite directions. The authors present an original [...] Read more.
In recent decades, enthusiasts and researchers from all over the world have invested a lot of energy and time in trying to develop linear propulsion systems using the inertial force generated by two masses revolving in opposite directions. The authors present an original concept for the propulsion system of a mobile platform by using the inertial force generated by two eccentric bodies that are revolving in opposite directions. Based on this approach, a wheeled vehicle was designed, built using additive manufacturing techniques, and finally tested. Validation of the concept and verification of the analytically derived kinematic parameters were carried out by 3D modeling and motion simulation performed in SolidWorks 2023. It was concluded that the initial position of the eccentric bodies determines the direction of movement. Moreover, a favorable correlation of the eccentric bodies’ masses with the entire platform mass is able to ensure the movement at an oscillating but permanently positive speed. Full article
(This article belongs to the Special Issue Advances in Computer-Aided Manufacturing (CAM))
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Review

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25 pages, 3046 KiB  
Review
Architectural 3D-Printed Structures Created Using Artificial Intelligence: A Review of Techniques and Applications
by Milijana Živković, Maša Žujović and Jelena Milošević
Appl. Sci. 2023, 13(19), 10671; https://doi.org/10.3390/app131910671 - 26 Sep 2023
Cited by 1 | Viewed by 2122
Abstract
Artificial Intelligence (AI) and 3D printing (3DP) play considerable roles in what is known as the Fourth Industrial Revolution, by developing data- and machine-intelligence-based integrated production technologies. In architecture, this shift was induced by increasingly complex design requirements, posing important challenges for real-world [...] Read more.
Artificial Intelligence (AI) and 3D printing (3DP) play considerable roles in what is known as the Fourth Industrial Revolution, by developing data- and machine-intelligence-based integrated production technologies. In architecture, this shift was induced by increasingly complex design requirements, posing important challenges for real-world design implementation, large-scale structure fabrication, and production quality standardization. The study systematically reviews the application of AI techniques in all stages of creating 3D-printed architectural structures and provides a comprehensive image of the development in the field. The research goals are to (1) offer a comprehensive critical analysis of the body of literature; (2) identify and categorize approaches to integrating AI in the production of 3D-printed structures; (3) identify and discuss challenges and opportunities of AI integration in architectural production of 3D-printed structures; and (4) identify research gaps and provide recommendations for future research. The findings indicate that AI is an emerging addition to the 3DP process, mainly transforming it through the real-time adjustment of the design or printing parameters, enhanced printing quality control, or prediction and optimization of key design features. However, the potential of the application of AI in large-scale architectural 3D printing still needs to be explored. Lastly, the study emphasizes the necessity of redefining traditional field boundaries, opening new opportunities for intelligent architectural production. Full article
(This article belongs to the Special Issue Advances in Computer-Aided Manufacturing (CAM))
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