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Developmental review of metal additive manufacturing processes

2023· article· en· W4390167723 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueHistory of science and technology · 2023
Typearticle
Languageen
FieldEngineering
TopicAdditive Manufacturing Materials and Processes
Canadian institutionsnot available
Fundersnot available
KeywordsStereolithographyManufacturing engineering3D printingAdvanced manufacturingEmerging technologiesSelective laser meltingComputer scienceBusinessEngineeringNanotechnologyMechanical engineeringMaterials scienceMetallurgy

Abstract

fetched live from OpenAlex

This work is devoted to the study of the progress in various areas of additive manufacturing technology usage - from the first theories of layer-by-layer manufacturing to modern additive manufacturing technologies. Additive manufacturing technologies are some of the most rapidly developing sectors of manufacturing, maintaining significant interest of the scientific community due to the their represent of both an alternative manufacturing method for existing structures, as well as opening up opportunities for the development of new structures with structural complexity unattainable for traditional technologies. During historical review of the development and implementation of various technological processes in additive manufacturing for metals, a gap in compiling a comprehensive picture of the general development of additive manufacturing technologies in metallurgy was discovered. For a better understanding and systematization of knowledge about additive manufacturing, on top of answering a number of common questions about these technologies, an analysis of publicly known knowledge about their historical applications in the leading countries of the world was conducted. A number of additive manufacturing technologies were considered, such as Wire-Arc Additive Manufacturing, Selective Laser Sintering, Selective Laser Melting, Electron Beam Melting, and Laser-Engineered Net Shaping. The study focused on the developments carried out by various countries of the world in the 20th and 21st centuries by scientists from such countries as the USA, the United Kingdom, France, Germany, Japan, Canada, the USSR and others. The main documents for the initial research efforts for each family of additive manufacturing processes and various applications of these technologies - from topography and stereolithography to modern medicine with the aerospace industry ‒ were reviewed; their main findings, breakthroughs and challenges were discussed. An analysis and classification of previous studies that focus on the development of various technological processes and their implementation was carried out. As a result of the analysis, a systematized approach to the creation of a comprehensive scheme for the development of additive technologies related to the development of technologies in various directions was proposed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.245
Threshold uncertainty score0.461

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.210
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it