lpbf 开源项目推荐（22 个）

JLnorthwestern /GO-MELT

GO-MELT: GPU-Optimized Multilevel Execution of LPBF Thermal simulations

vigneashpandiyan /Additive-Manufacturing-Transfer-Learning

Deep transfer learning of additive manufacturing mechanisms across materials in metal-based laser powder bed fusion process

vigneashpandiyan /Additive-Manufacturing-Sensor-Selection-Acoustic-Emission

基于利用经验模式分解和可解释机器学习，解析激光粉末床聚变过程不同动力学的声学发射，用于过程监测的传感器选择

vigneashpandiyan /Additive-Manufacturing-DED-Contrastive-Learners

In Situ Quality Monitoring in Direct Energy Deposition Process using Co-axial Process Zone Imaging and Deep Contrastive Learning

ArthurKretzer /lpbf-layer-segmentation

This project was made in Alkimat during a computer vision master's course on UFSC (Universidade Federal de Santa Catarina). The scope of the development was to segment a printed layer on an image shoot from a Laser Powder Bed Fusion (LPBF) machine developed in Alkimat.

vigneashpandiyan /Additive-Manufacturing-Domain-adaptation-for-Bridging-Dissimilar-Process-Maps-Acoustic-Emission

Monitoring Of Laser Powder Bed Fusion Process By Bridging Dissimilar Process Maps Using Deep Learning-based Domain Adaptation on Acoustic Emissions

vigneashpandiyan /Additive-Manufacturing-Feature-Engineering-Acoustic-Emission

Repositry supporting two publications on LPBF process monitoring using acoustic emissions

vigneashpandiyan /Additive-Manufacturing-Variable-Time-Scales

Deep learning-based monitoring of laser powder bed fusion process on variable time-scales using heterogeneous sensing and operando X-ray radiography guidance

HayesYu /acoustic-monitoring

This project investigates the relationship between LPBF manufacturing parameters (laser power & scan speed) and acoustic signals. Using data-driven and machine learning methods, we extract acoustic waveform features and build regression models to predict unknown power and speed values. (NUS ME5106 Mini Project 3)

vigneashpandiyan /Additive-Manufacturing-Self-Supervised-Bayesian-Representation-Learning-Acoustic-Emission

Self-Supervised Bayesian Representation Learning of Acoustic Emissions from Laser Powder Bed Fusion Process for In-situ Monitoring

canerganis /metalliksa

Local research workstation for laser powder-bed fusion and metallurgy: transient thermal solvers, CALPHAD, Pourbaix, kinetics and a traceable evidence registry. Every number carries its source and evidence level.

vigneashpandiyan /Additive-Manufacturing-Acoustics-Semisupervised-Learning

Semi-supervised monitoring of laser powder bed fusion process based on acoustic emissions

kth-0121 /aero-twin-agent

Physics-aware Physical AI 기반 금속 3D프린팅(LPBF) Digital Twin Agent: Looped Transformer 용융풀 예측 + 물리 피드백 + 공정조건 추천

vigneashpandiyan /Additive-Manufacturing-Multi-Material-Composition-Monitoring-Using-Sensor-Fusion

Qualify-As-You-Go Sensor Fusion, Process Zone Signatures and Deep Contrastive Learning for Multi-Material Composition Monitoring in LPBF Process

tonykoop /additive-manufacturing

Metal LPBF process documentation from my Uniformity Labs Metal 3D Print Specialist role — AlSi10Mg, Ti-6Al-4V, 316/304 SS, and Inconel 625 + 718, printed on SLM Solutions SLM 125 and SLM 280 machines.

Brighton94 /spatter-analysis-ml

Exploring physics-guided machine learning to improve process understanding and prediction in metal additive manufacturing.

ajadav-mech /hydraulic-manifold-lpbf

Hydraulic manifold designed for laser powder bed fusion (DfAM)

tonykoop /metal-powder-flow-device

Scientific measurement instrument for characterizing the flow behavior of powdered metal feedstock used in additive manufacturing — designed, additively manufactured (LPBF), and CNC-finished at Uniformity Labs (2022-2023). Portfolio piece; design and methodology remain Uniformity Labs proprietary. See NOTICE.md.

tonykoop /tumbler-oven

Reverse-engineering and repair of a large industrial tumbler oven for processing powdered metal feedstock for additive manufacturing (LPBF and binder jetting), at Uniformity Labs (2022-2023). Portfolio piece; equipment, drawings, and process know-how remain Uniformity Labs proprietary. See NOTICE.md.

psushapelab /Optical-Surface-Roughness-Segmentation-PBF-AM

Open optical microscopy dataset, polygon annotations, and reference U-Net models for surface-feature segmentation in powder bed fusion additive manufacturing.