Advanced Laser-Assisted Manufacturing Processes
A special issue of Journal of Manufacturing and Materials Processing (ISSN 2504-4494).
Deadline for manuscript submissions: 15 November 2025 | Viewed by 83
Special Issue Editors
Interests: advanced manufacturing processes; laser material processing; material science; FEM/FEA
Interests: laser forming; hydroforming; incremental forming; bulk metal forming; finite element simulation; friction stir welding process
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Laser-assisted manufacturing has revolutionized modern production by offering precision, flexibility, and efficiency in material processing. These processes leverage laser technology for cutting, welding, additive manufacturing, surface treatment, and hybrid machining, enabling enhanced control over microstructural evolution, surface integrity, and mechanical properties. As industries continue to push the boundaries of material performance and process optimization, advanced laser-based techniques play a pivotal role in sectors such as aerospace, automotive, medical devices, and energy.
This Special Issue of Journal of Manufacturing and Materials Processing (JMMP) aims to showcase the latest advancements in laser-assisted manufacturing, highlighting novel methodologies, process modeling, material interactions, and industrial applications. We welcome original research and review articles that address improvements in process efficiency, defect mitigation, sustainability, and integration with emerging technologies such as artificial intelligence and Industry 4.0.
We are interested in contributions focusing on topics such as the following:
- Laser-based manufacturing;
- Selective laser melting (SLM) and laser powder bed fusion (LPBF);
- Laser cutting, welding, and drilling;
- Hybrid and multi-energy laser-assisted processes;
- Process monitoring and control in laser machining;
- Laser–material interactions and thermal modeling;
- Surface functionalization and microstructural evolution;
- AI-driven process optimization and Industry 4.0 integration;
- Applications in aerospace, automotive, biomedical, and energy industries;
- Sustainability and energy efficiency in laser processing.
Dr. Shayan Dehghan
Dr. Mehdi Safari
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. Journal of Manufacturing and Materials Processing is an international peer-reviewed open access monthly 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 1800 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
- laser-based manufacturing
- selective laser melting (SLM) and laser powder bed fusion (LPBF)
- laser cutting, welding, and drilling
- hybrid and multi-energy laser-assisted processes
- process monitoring and control in laser machining
- laser–material interactions and thermal modeling
- surface functionalization and microstructural evolution
- AI-driven process optimization and Industry 4.0 integration
- applications in aerospace, automotive, biomedical, and energy industries
- sustainability and energy efficiency in laser processing
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