Results 1 to 10 of about 25,160,643 (190)

The Modeling and Using Strategy for the Digital Twin in Process Planning

IEEE Access, 2020
Process planning is the core of guiding process production and one of the most critical parts to realize intelligent manufacturing of products.
Peng Zhao, Jinfeng Liu, Xuwen Jing, Mingming Tang, Sushan Sheng, Honggen Zhou, Xiaojun Liu   +6 more
doaj   +2 more sources

Smart manufacturing-driven probabilistic process planning for components via AP-BiLSTM-ATT [PDF]

Frontiers in Artificial Intelligence
In the context of smart manufacturing, improving the quality and efficiency of process planning, especially in the processing of complex parts, has become a key factor influencing the level of intelligence in manufacturing systems.
Wei Yang, Jinyan Liang, Xiaoyu Zhang, Xiting Peng   +3 more
doaj   +2 more sources

Dynamic Evaluation Method of Machining Process Planning Based on Digital Twin

IEEE Access, 2019
Process evaluation is widely accepted as an effective strategy to improve product quality and shorten its development cycle. However, there has been very little research on how to evaluate the process plan with the dynamic change of the machining ...
Jinfeng Liu, Honggen Zhou, Xiaojun Liu, Guizhong Tian, Mingfang Wu, Liping Cao, Wei Wang   +6 more
doaj   +2 more sources

Parametric Optimization and Decision Support Model Framework for Life Cycle Cost Analysis and Life Cycle Assessment of Flexible Industrial Building Structures Integrating Production Planning

Buildings, 2022
Most industrial buildings have a very short lifespan due to frequently changing production processes. The load-bearing structure severely limits the flexibility of industrial buildings and is a major contributor to their costs, carbon footprint and waste.
Julia Reisinger, Stefan Kugler, Iva Kovacic, Maximilian Knoll   +3 more
doaj   +1 more source

Deep Learning-Assisted Smart Process Planning, Robotic Wireless Sensor Networks, and Geospatial Big Data Management Algorithms in the Internet of Manufacturing Things

ISPRS Int. J. Geo Inf., 2022
: The purpose of our systematic review is to examine the recently published literature on the Internet of Manufacturing Things (IoMT), and integrate the insights it configures on deep learning-assisted smart process planning, robotic wireless sensor ...
George Lăzăroiu, Mihai Andronie, Mariana Iatagan, Marinela Geamănu, Roxana Ștefănescu, Irina Dijmarescu   +5 more
semanticscholar   +1 more source

Process planning for die and mold machining based on pattern recognition and deep learning

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2021
Dies and molds are necessary elements in the manufacturing of current industrial products. There is increasing pressure to machine high quality complicated surfaces at low cost. The standardization of process planning is said to be a key to improving the
Mayu HASHIMOTO, Keiichi NAKAMOTO
doaj   +1 more source

Feature extraction and process planning of integrated hybrid additive-subtractive system for remanufacturing

Mathematical Biosciences and Engineering, 2020
Discussion regarding hybrid manufacturing has dominated research in recent years. By synergistically integrating additive and subtractive manufacturing within a single workstation, the relative benefits of each manufacturing strategy are leveraged.
Yufan Zheng, Rafiq Ahmad
doaj   +1 more source

Automatic determination of part build orientation for laser powder bed fusion

Virtual and Physical Prototyping, 2021
In this paper, an automatic determination method of part build orientation for laser powder bed fusion is presented. This method includes two steps. First, an existing facet clustering-based approach is applied to automatically generate the alternative ...
Yuchu Qin, Qunfen Qi, Peizhi Shi, Paul J. Scott, Xiangqian Jiang   +4 more
doaj   +1 more source

Do We Really Know The Benefit Of Machine Learning In Production Planning And Control? A Systematic Review Of Industry Case Studies.

Proceedings of the Conference on Production Systems and Logistics, 2021
The field of machine learning (ML) is of specific interest for production companies as it displays a perspective to handle the increased complexity within their production planning and control (PPC) processes in an economic and ecologic effective as well
Kramer, Kathrin Julia, Rokoss, Alexander, Schmidt, Matthias, Herberger, David, Hübner, Marco   +4 more
doaj   +1 more source

An Agent-Based Decision Support Platform for Additive Manufacturing Applications

Applied Sciences, 2020
The effective estimation and consideration of process cost, time, and quality for additive manufacturing operations, when a series of suitable technologies and resources are available, is very important for making informed product design and development ...
Nikolaos Papakostas, Anthony Newell, Abraham George   +2 more
doaj   +1 more source