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Laser Additive Manufacturing (LAM) presents unparalleled opportunities for fabricating complex, high-performance structures and components with unique material properties. Despite these advancements, achieving consistent part quality and…

Signal Processing · Electrical Eng. & Systems 2024-04-24 Lequn Chen , Guijun Bi , Xiling Yao , Jinlong Su , Chaolin Tan , Wenhe Feng , Michalis Benakis , Youxiang Chew , Seung Ki Moon

Accurate phase diagram prediction is crucial for understanding alloy thermodynamics and advancing materials design. While traditional CALPHAD methods are robust, they are resource-intensive and limited by experimentally assessed data. This…

Materials Science · Physics 2025-07-08 Siya Zhu , Raymundo Arróyave , Doğuhan Sarıtürk

Additive manufacturing (AM) is a rapidly evolving technology that has attracted applications across a wide range of fields due to its ability to fabricate complex geometries. However, one of the key challenges in AM is achieving consistent…

Machine Learning · Computer Science 2025-02-05 Olabode T. Ajenifujah , Amir Barati Farimani

Significant improvements to the production rate of additive manufacturing (AM) technologies are essential to their cost-effectiveness and competitiveness with traditional processing routes. Moreover, much faster AM processes, in combination…

Applied Physics · Physics 2017-09-19 Jamison Go , A. John Hart

Uniform powder spreading is a requisite for creating consistent, high-quality components via powder bed additive manufacturing (AM), wherein layer density and uniformity are complex functions of powder characteristics, spreading kinematics,…

Metallography is crucial for a proper assessment of material's properties. It involves mainly the investigation of spatial distribution of grains and the occurrence and characteristics of inclusions or precipitates. This work presents an…

Materials Science · Physics 2022-03-02 Matan Rusanovsky , Ofer Beeri , Gal Oren

The mitigation of material defects from additive manufacturing (AM) processes is critical to reliability in their fabricated parts and is enabled by modeling the complex relations between available build monitoring signals and final…

Applied Physics · Physics 2024-02-26 Qixiang Luo , John D. Shimanek , Timothy W. Simpson , Allison M. Beese

Alloy discovery is constrained by vast compositional spaces, competing objectives, and prohibitive experimental costs. Although simulations and machine learning have each accelerated parts of this process, unifying scientific knowledge,…

In this study, a framework for the multi-objective materials discovery based on Bayesian approaches is developed. The capabilities of the framework are demonstrated on an example case related to the discovery of precipitation strengthened…

In context of laser powder bed fusion (L-PBF), it is known that the properties of the final fabricated product highly depend on the temperature distribution and its gradient over the manufacturing plate. In this paper, we propose a novel…

Artificial Intelligence · Computer Science 2023-01-31 Ashkan Mansouri Yarahmadi , Michael Breuß , Carsten Hartmann

Due to the wide diffusion of 3D printing technologies, geometric algorithms for Additive Manufacturing are being invented at an impressive speed. Each single step, in particular along the Process Planning pipeline, can now count on dozens…

Graphics · Computer Science 2017-09-22 Marco Livesu , Stefano Ellero , Jonás Martìnez , Sylvain Lefebvre , Marco Attene

Significant developments in the field of additive manufacturing (AM) allowed the fabrication of complex microarchitectured components with varying porosity across different scales. However, due to the high complexity of this process, the…

Computational Engineering, Finance, and Science · Computer Science 2020-12-16 N. Korshunova , J. Jomo , G. Lékó , D. Reznik , P. Balázs , S. Kollmannsberger

Accurate simulation of the printing process is essential for improving print quality, reducing waste, and optimizing the printing parameters of extrusion-based additive manufacturing. Traditional additive manufacturing simulations are very…

Graphics · Computer Science 2025-07-23 Dhruv Gamdha , Kumar Saurabh , Baskar Ganapathysubramanian , Adarsh Krishnamurthy

The promise of Additive Manufacturing (AM) includes reduced transportation and warehousing costs, reduction of source material waste, and reduced environmental impact. AM is extremely useful for making prototypes and has demonstrated the…

Computers and Society · Computer Science 2017-06-05 Gregory Pope , Mark Yampolskiy

Autonomous experimentation systems have been used to greatly advance the integrated computational materials engineering (ICME) paradigm. This paper outlines a framework that enables the design and selection of data collection workflows for…

Materials Science · Physics 2022-06-20 Rohan Casukhela , Sriram Vijayan , Joerg R. Jinschek , Stephen R. Niezgoda

Purpose: The class of models that can be represented by STL files is larger than the class of models that can be printed using additive manufacturing technologies. Stated differently, there exist well-formed STL files that cannot be…

Graphics · Computer Science 2018-06-22 Marco Attene

Multi-axis additive manufacturing enables high flexibility of material deposition along dynamically varied directions. The Cartesian motion platforms of these machines include three parallel axes and two rotational axes. Singularity on…

Robotics · Computer Science 2021-05-20 Tianyu Zhang , Xiangjia Chen , Guoxin Fang , Yingjun Tian , Charlie C. L. Wang

Fleets of networked manufacturing machines of the same type, that are collocated or geographically distributed, are growing in popularity. An excellent example is the rise of 3D printing farms, which consist of multiple networked 3D…

Powder bed fusion is a widely used additive manufacturing (AM) process for producing complex, small-batch parts that are impractical to manufacture using conventional methods. However, its broader adoption is hindered by process-induced…

Optimization and Control · Mathematics 2025-06-12 Yulin Guo , Boris Kramer

LPBF of Al alloys is associated with numerous challenges when compared to other commonly used alloys due to their higher reflectivity and thermal conductivity. In this work, processing diagrams, temperature prediction models, XCT, and…

Materials Science · Physics 2022-09-28 Sagar Patel , Haoxiu Chen , Mihaela Vlasea , Yu Zou