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Related papers: Innovations in High- and Ultra-precision Machining

200 papers

High-throughput computational and experimental design of materials aided by machine learning have become an increasingly important field in material science. This area of research has emerged in leaps and bounds in the thermal sciences, in…

Materials Science · Physics 2019-06-17 Hang Zhang , Kedar Hippalgaonkar , Tonio Buonassisi , Ole M. Løvvik , Espen Sagvolden , Ding Ding

In the pursuit of sustainable manufacturing, ultra-short pulse laser micromachining stands out as a promising solution while also offering high-precision and qualitative laser processing. However, unlocking the full potential of ultra-short…

Signal Processing · Electrical Eng. & Systems 2025-12-03 Luis Correas-Naranjo , Miguel Camacho-Sánchez , Laëtitia Launet , Milena Zuric , Valery Naranjo

Atomically Precise Manufacturing (APM) refers to the assembly of materials with atomic precision, representing a highly advanced technology with significant potential. However, the development of APM remains in its early stages, with…

Emerging Technologies · Computer Science 2024-09-04 Vadym Shvydun , Justin Sato , Gabriel Bristot

The recent decades have seen various attempts at accelerating the process of developing materials targeted towards specific applications. The performance required for a particular application leads to the choice of a particular material…

In the era of Industry 4.0, system reliability engineering faces both challenges and opportunities. On the one hand, the complexity of cyber-physical systems, the integration of novel numerical technologies, and the handling of large…

The use of robotic technology has drastically increased in manufacturing in the 21st century. But by utilizing their sensory cues, humans still outperform machines, especially in the micro scale manufacturing, which requires high-precision…

Robotics · Computer Science 2025-06-17 Rongfei Li , Francis Assadian

The general properties needed in targets (sources) for high precision, high accuracy measurements are reviewed. The application of these principles to the problem of developing targets for the Fission TPC is described. Longer term issues,…

The explosive demand for artificial intelligence (AI) workloads has led to a significant increase in silicon area dedicated to lower-precision computations on recent high-performance computing hardware designs. However, mixed-precision…

Computational Engineering, Finance, and Science · Computer Science 2025-09-09 Aditya Kashi , Hao Lu , Wesley Brewer , David Rogers , Michael Matheson , Mallikarjun Shankar , Feiyi Wang

Smart manufacturing aims to overcome the limitations of today's rigid assembly lines by making the material flow and manufacturing process more flexible, versatile, and scalable. The main economic drivers are higher resource and cost…

Systems and Control · Electrical Eng. & Systems 2021-04-19 Dominik Baumann , Fabian Mager , Ulf Wetzker , Lothar Thiele , Marco Zimmerling , Sebastian Trimpe

This paper explores the production of a specified object using a combination of machining processes, including milling, shaping, and drilling, while emphasizing the critical role of fixture design in ensuring precision repeatability, and…

Computational Engineering, Finance, and Science · Computer Science 2025-03-24 Abdullah Al Hossain Newaz , Refat Jahan

An exponential increase in the performance of silicon microelectronics and the demand to manufacture in great volumes has created an ecosystem that requires increasingly complex tools to fabricate and characterize the next generation of…

Automated industries lead to high quality production, lower manufacturing cost and better utilization of human resources. Robotic manipulator arms have major role in the automation process. However, for complex manipulation tasks, hard…

Smart manufacturing is a vision and major driver for change in industrial environments. The goal of smart manufacturing is to optimize manufacturing processes through constantly monitoring and adapting processes towards more efficient and…

Advances in machine learning have impacted myriad areas of materials science, ranging from the discovery of novel materials to the improvement of molecular simulations, with likely many more important developments to come. Given the rapid…

Materials Science · Physics 2020-06-26 Dane Morgan , Ryan Jacobs

Significant progress in robotics reveals new opportunities to advance manufacturing. Next-generation industrial automation will require both integration of distinct robotic technologies and their application to challenging industrial…

Smart manufacturing can significantly improve efficiency and reduce energy consumption, yet the energy demands of AI models may offset these gains. This study utilizes in-situ sensing-based prediction of geometric quality in smart machining…

Machine Learning · Computer Science 2025-12-04 Danny Hoang , Anandkumar Patel , Ruimen Chen , Rajiv Malhotra , Farhad Imani

The paper focuses on the accuracy improvement of geometric and elasto-static calibration of industrial robots. It proposes industry-oriented performance measures for the calibration experiment design. They are based on the concept of…

Robotics · Computer Science 2012-11-27 Yier Wu , Alexandr Klimchik , Anatol Pashkevich , Stéphane Caro , Benoît Furet

In this paper, we present a general review of the status of numerical modelling applied to the design of high temperature superconductor (HTS) devices. The importance of this tool is emphasized at the beginning of the paper, followed by…

Superconductivity · Physics 2017-05-30 Frédéric Sirois , Francesco Grilli

High speed machining has been improved thanks to considerable advancement on the tools (optimum geometry, harder materials), on machined materials (increased workability and machining capacity for harder workpieces) and finally on the…

Classical Physics · Physics 2009-09-29 Olivier Cahuc , Alain Gérard

The requirements for accurate numerical simulation are increasing constantly. Modern high precision physics experiments now exceed the achievable numerical accuracy of standard commercial and scientific simulation tools. One example are…

Computational Physics · Physics 2015-05-28 M. Andres , L. Banz , A. Costea , E. Hackmann , S. Herrmann , C. Lämmerzahl , L. Nesemann , B. Rievers , E. P. Stephan
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