Journal of Materials Processing Technology Submission Guide

Source: Clarivate JCR 2024, Elsevier editorial disclosures (accessed April 2026).

Source: JMPT author guidelines.

Use this page when deciding:

• whether the processing advance is substantive

• whether characterization is rigorous

• whether process-property linkage is articulated

• a clear processing advance

• multi-technique characterization

• process-microstructure-property linkage

• mechanism analysis

• a cover letter establishing the contribution

• Descriptive process reports without mechanism.

• Weak microstructural characterization.

• Missing process-property linkage.

• General materials without processing focus.

JMPT is a flagship materials processing journal.

Processing-mechanism standard: the journal differentiates from broader materials journals by demanding processing as the primary contribution.

Process-property expectation: editors expect linkage among process, microstructure, properties.

The 30-40% desk rejection rate: decisive editorial screen.

The strongest JMPT cover letters establish:

• the processing advance

• the characterization

• the process-property linkage

• the mechanism

JMPT requires these at first submission:

• editable manuscript source file (.docx or .tex, not PDF) within the 10,000-word, 40-reference, 20-figure, 4-table envelope

• cover letter establishing the processing-mechanism contribution or transferable insight

• highlights file (3-5 bullet points, 85 characters each)

• graphical abstract showing the processing-microstructure-property linkage

• CRediT author contribution statement

• data availability statement with deposit of process data, microstructural imaging, mechanical test data, or simulation files in a recognized repository (or a statement explaining why data cannot be shared)

• declaration of competing interests

• ethics statement (where applicable, including biosafety for biomanufacturing work)

• suggested reviewers with institutional affiliations and email addresses

• declaration of generative AI use in the manuscript preparation process (mandatory per JMPT policy)

• for revised submissions, point-by-point reviewer response and marked-up manuscript

For JMPT submissions, the most common artifact-related issue is simulation-only papers without the experimental verification the journal explicitly requires. The Guide for Authors names "simulation with no experimental verification and/or which gives no new insight into the process" as a non-acceptance category; submissions that report finite-element or molecular-dynamics results without paired experimental measurements are typically desk-rejected at first read regardless of computational novelty.

JMPT manuscripts move through a four-stage editorial timeline.

Day 0 to 5: Editorial Manager intake and technical check

The platform performs automated checks (source-file format, word and figure counts against the 10,000-word and 20-figure envelopes, declaration completeness, AI-use disclosure). Editorial staff verify the cover letter and data statement. Submissions exceeding the word or figure envelope are returned at this stage.

Day 5 to 21: Editor-in-Chief or Subject Editor desk-screen

A Subject Editor (matched to forming, machining, joining, casting, additive manufacturing, or processing-microstructure-property modeling) reviews scope fit, the substantive innovation or transferable-insight claim, and the presence of experimental verification on simulation work. Multiple-part papers and single-condition case studies are routinely desk-rejected.

Week 4 to 8: External peer review

Manuscripts that pass desk-screen go to 2-3 reviewers selected for both the processing subfield and any computational methods used. Reviewer turnaround on classical forming and machining work is faster than on emerging additive-manufacturing topics where the reviewer pool is broader but less specialized in process physics.

Week 8 to 16: Decision and revision rounds

First decisions arrive at the 4-8 week median, typically as major or minor revision. Revision cycles add 4-10 weeks. Authors may file a formal appeal per Elsevier's Appeal Policy (one appeal per submission, decision final).

• Is JMPT a good journal?

Before upload, run your manuscript through a JMPT processing readiness check.

The sources above define the mechanics; the harder question is whether this draft earns review. The review tells you whether your paper clears the Journal of Materials Processing Technology fit check before upload, especially around descriptive process reports without mechanism, weak microstructural characterization, and missing process-property linkage. Paid Manusights reviews include a 60-day money-back guarantee, and we do not train models on submitted manuscripts.

Across materials processing manuscripts targeting JMPT, three patterns appear most often in desk-rejected submissions.

Manusights pre-submission pattern analysis shows many JMPT desk rejections trace to descriptive process reports. The same pattern analysis often finds these cases involve weak microstructural characterization. A related pattern is that these cases often arise from missing process-property linkage.

Descriptive process reports without mechanism

JMPT editors look for processing mechanism. We observe submissions reporting only process parameters and outcomes without mechanism routinely desk-rejected.

Check descriptive process reports without mechanism before submitting to Journal of Materials Processing Technology →

Weak microstructural characterization

Editors expect multi-technique characterization. We see manuscripts with thin characterization data routinely returned.

Check weak microstructural characterization before submitting to Journal of Materials Processing Technology →

Missing process-property linkage

JMPT specifically expects clear linkage among process, microstructure, properties. We find papers reporting properties without microstructural explanation routinely declined. A JMPT processing readiness check can identify whether the package supports a submission.

Clarivate JCR 2024 bibliometric data places JMPT among top materials processing journals.

Check missing process property linkage before submitting to Journal of Materials Processing Technology →

In pre-submission diagnostic work for top materials processing journals, we consistently see four signals that distinguish strong submissions from weak ones. First, the processing advance must be substantive. Second, characterization should be multi-technique. Third, process-microstructure-property linkage should be clear. Fourth, mechanism should be analyzed.

For Journal Of Materials Processing Technology-targeted manuscripts, the single most consistent feedback class we deliver in pre-submission diagnostics for JMPT is the descriptive-versus-mechanistic distinction. JMPT editors expect mechanism. Submissions framed as "we processed material X using condition Y to achieve property Z" routinely receive "where is the mechanism?" feedback. We coach authors to lead with the mechanism. Papers framed as "we elucidated how processing X drives microstructural feature Y, which determines property Z" receive better editorial traction.

For Journal Of Materials Processing Technology-targeted manuscripts, beyond the rubric checks, three pre-submission diagnostic patterns recur most often in the manuscripts we review for JMPT. First, manuscripts where the abstract reports process parameters without articulating mechanism are flagged. Second, manuscripts where characterization is single-technique are flagged. Third, manuscripts that lack engagement with JMPT's recent issues are flagged.

The JMPT submissions we coach toward acceptance distinguish themselves on three operational behaviors. First, the cover letter names the processing-mechanism contribution (innovation type or transferable insight type) in the first 80 words rather than describing the process variant. Second, simulation work is paired with experimental verification in the same figures, with the comparison plot rather than relegated to supplementary, because JMPT editors treat this as a published acceptance criterion.

Third, the recent-literature engagement names at least 3 JMPT papers from the past 18 months on the adjacent process and explicitly frames how this work extends the transferable knowledge baseline.

JMPT desk-screen runs against the journal's explicit non-acceptance categories before the editor evaluates substantive contribution: simulation without experimental verification, single-condition demonstrations, multi-part-paper structures, and pure case studies all trigger desk-rejection on category grounds rather than on technical critique. Designing the abstract and introduction to immediately rule out each of these category risks (paired-experiment language for any simulation, transferable-insight framing for any process advance, single self-contained paper structure) is the highest-leverage pre-submission move.

At JMPT, author-team authority is read through process-physics depth (forming dynamics, machining mechanics, additive-manufacturing thermal histories, joining metallurgy, casting solidification) more than through bibliometric track record alone. The Editorial Board is heavily weighted toward investigators who have published transferable-insight papers in their subfield, and they look for the same posture in submissions.

Naming 3-5 recent JMPT papers in the introduction and explicitly positioning your work in the transferable-insight conversation (not merely in the demonstration-paper conversation) signals that the team understands what the journal selects for.