Skip to content
Back to skills

Additive Manufacturing

ASecurity

Use when targeting the journal Additive Manufacturing or deciding whether an AM-science manuscript fits this venue. Encodes the journal's fit, the process–structure–property and qualification bar, AM-specific experimental rigor, the AM-vs-metallurgy and AM-vs-subtractive routing, official-submission re-check, and desk-reject heuristics.

  • 3 stars
  • 0 votes
  • 0 copies
  • 2 views
  • Added September 12, 2026
ai-agentsgotestinggitperformance

Security analysis

A100/100

Scanned September 12, 2026

npx -y skills add thedixitjain/the-mega-skill-library --skill additive-manufacturing --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Additive Manufacturing?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Additive Manufacturing
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/thedixitjain-additive-manufacturing/badge)](https://www.skillsdirectory.com/skills/thedixitjain-additive-manufacturing)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: additive-manufacturing
description: "Use when targeting the journal Additive Manufacturing or deciding whether an AM-science manuscript fits this venue. Encodes the journal's fit, the process–structure–property and qualification bar, AM-specific experimental rigor, the AM-vs-metallurgy and AM-vs-subtractive routing, official-submission re-check, and desk-reject heuristics."
category: engineering-core
source_repo: brycewang-stanford/Awesome-Journal-Skills
source_path: "Engineering-Technology-Journal-Skills/skills/additive-manufacturing/SKILL.md"
source_url: https://github.com/brycewang-stanford/Awesome-Journal-Skills/blob/HEAD/Engineering-Technology-Journal-Skills/skills/additive-manufacturing/SKILL.md
---


# Additive Manufacturing (additive-manufacturing)

## Journal positioning

Additive Manufacturing is a leading archival journal dedicated to the **science of
additive manufacturing**: new AM processes and process physics,
process–structure–property relationships, AM-specific materials, design-for-AM,
and in-situ monitoring and qualification. Its center of gravity is AM as a science —
understanding how the layer-wise process governs structure and performance, and how
to monitor and qualify what is built — established with experimental rigor. The
journal differs from a metallurgy-first venue (where the microstructure mechanism is
the point) and from a precision-machining venue (subtractive/precision). Papers that
print a known part on a commercial machine with no AM-specific insight, or that
report a property with no link to the process, are a weak fit. This skill is a **fit
/ venue-selection / re-framing** tool. It does not replace the journal's current
official author guidelines. Before submitting, re-check the live Additive
Manufacturing Guide for Authors.

## When to trigger

- The author names Additive Manufacturing for an AM-process, AM-materials, or
  AM-qualification manuscript and wants a fit/framing check.
- A paper must be re-framed from "we 3D-printed this part" into an AM
  process–structure–property or qualification contribution.
- The author is deciding between Additive Manufacturing, a metallurgy-first venue
  (`acta-materialia`), and a precision-machining venue
  (`international-journal-of-machine-tools-and-manufacture`).
- The author needs AM's experimental-rigor bar and desk-reject heuristics.

## Scope & topic fit

- New AM processes and process physics: powder-bed fusion, directed energy deposition,
  binder jetting, vat photopolymerization, material extrusion — with new process
  understanding or capability.
- Process–structure–property relationships: how AM parameters govern porosity,
  microstructure, anisotropy, residual stress, and mechanical/functional performance.
- AM materials: alloys, polymers, ceramics, composites, and multi-material/functionally
  graded structures designed or adapted for AM.
- Design-for-AM: lattices, topology-optimized and architected structures realized by AM,
  when the AM realizability and performance are central.
- In-situ monitoring, sensing, and process control: melt-pool/defect monitoring,
  closed-loop control, and data-driven process insight.
- Qualification, repeatability, and defect science: linking process signatures to
  defect formation and to part qualification.

## Method & evidence bar

- The central claim is an **AM-specific advance** — a process capability, a
  process–structure–property link, or a monitoring/qualification method — not a part
  printed on a stock machine.
- Process parameters must be reported completely (machine, feedstock, energy input,
  scan strategy, atmosphere) so the build is reproducible.
- Structure and property characterization must be quantitative and statistically
  representative (porosity sampling, microstructure quantification, mechanical
  statistics), not single images.
- For monitoring/control, demonstrate the signal-to-defect or signal-to-property link
  with validation, not just sensor traces.
- Benchmark against the correct baseline (conventionally made counterpart or
  state-of-the-art AM) and explain the AM mechanism behind any improvement.
- Reproducibility: feedstock characteristics, process window, post-processing, and
  testing protocol reported in enough detail to reproduce the structure and property.

## Structure & house style

- Standard full-length research-article structure; Additive Manufacturing publishes
  archival articles — re-check article types on the live guide.
- The introduction motivates the AM-science gap (process physics, structure control,
  qualification), not a generic application; the discussion makes the
  process–structure–property argument explicit.
- Figures are load-bearing: process schematics, porosity/microstructure quantification,
  in-situ signals with ground truth, and property plots with statistics.
- Notation and units follow AM/materials-engineering conventions; report energy density
  and scan parameters unambiguously.
- Supplementary material carries extended builds, full parameter sets, and monitoring
  data; the main-text figures must support the central AM insight on their own.

## Official-submission checklist

- Before giving submission-ready advice, read `../../resources/source-basis.md` and
  `../../resources/official-source-map.md`; start from the Elsevier anchors, then
  cite the current Additive Manufacturing Guide for Authors page you checked.
- Search the live site for "Additive Manufacturing journal guide for authors" and
  follow the current Elsevier/Editorial Manager version.
- Re-check article types, length/figure expectations, and the data-availability policy
  for process, monitoring, and characterization data.
- Confirm highlights, graphical-abstract, and any structured-abstract requirement.
- Re-check competing-interests, funding, author-contribution (CRediT), and AI-use
  disclosure requirements.
- If the live official instructions conflict with this skill, the official
  instructions win.

## Pre-submission self-check

- [ ] The contribution is an AM-specific advance (process / process–structure–property / monitoring–qualification), not a printed part.
- [ ] Process parameters (machine, feedstock, energy input, scan strategy) are reported completely and reproducibly.
- [ ] Structure and property data are quantitative and statistically representative, not single images.
- [ ] Monitoring/control claims demonstrate a validated signal-to-defect or signal-to-property link.
- [ ] Improvements are benchmarked against the correct baseline and explained via the AM mechanism.
- [ ] The article type and length fit Additive Manufacturing's archival format.

## Common desk-reject triggers

- Printing a known part on a commercial machine with no AM-specific process or material insight.
- Property reported with no link to AM process parameters or structure.
- Characterization by representative images only, with no quantification or sampling.
- Monitoring data shown as sensor traces with no validated link to defects or properties.
- Scope mismatch: a metallurgy-first microstructure paper, a subtractive/precision-machining paper, or a pure design-optimization paper with AM as a label.
- Better framed as a physical-metallurgy mechanism study or a precision-manufacturing process study.

## Re-routing decision

- Microstructure mechanism is the point, AM merely the route → `acta-materialia`.
- Subtractive/precision manufacturing or post-machining of AM parts → `international-journal-of-machine-tools-and-manufacture`.
- AM of composite/architected composites with composites as the focus → `composites-part-b-engineering`.
- Constitutive/plasticity modeling of AM material as the core → `international-journal-of-plasticity`.
- Highest-impact conceptual materials advance for a broad audience → `nature-materials`.

## Output format

```text
[Fit] High / Medium / Low (one-line reason)
[Target] Additive Manufacturing
[Topic tags] <2–3 closest AM subtopics>
[AM advance] <the process / structure–property / monitoring contribution in one line>
[Method/evidence] <does the AM characterization + reproducibility clear the journal's bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <article type / length / data policy / abstract / disclosures>
[Re-route suggestion] <if not a fit, a better-matched venue>
```

---

**Source:** [`brycewang-stanford/Awesome-Journal-Skills`](https://github.com/brycewang-stanford/Awesome-Journal-Skills) → `Engineering-Technology-Journal-Skills/skills/additive-manufacturing/SKILL.md`

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.