What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Composite material
David W. Rosen focuses on Manufacturing engineering, Systems engineering, Engineering design process, Process and Computer-integrated manufacturing.
His work in the fields of Manufacturing engineering, such as Advanced manufacturing, intersects with other areas such as Term.
His studies deal with areas such as New product development, Conceptual design and Flexibility as well as Systems engineering.
His Engineering design process research is multidisciplinary, relying on both Concurrent engineering, Mathematical optimization, Management science and Task.
His study explores the link between Process and topics such as Engineering drawing that cross with problems in Stereolithography, Computer Aided Design, Automated reasoning, Expert system and Virtual prototyping.
His Integrated Computer-Aided Manufacturing and Process development execution system study are his primary interests in Computer-integrated manufacturing.
His most cited work include:
- Additive Manufacturing Technologies: Rapid Prototyping to Direct Digital Manufacturing (2436 citations)
- Additive manufacturing technologies : 3D printing, rapid prototyping, and direct digital manufacturing (937 citations)
- Cloud manufacturing: Strategic vision and state-of-the-art☆ (380 citations)
What are the main themes of his work throughout his whole career to date?
David W. Rosen mainly investigates Manufacturing engineering, Engineering drawing, Systems engineering, Stereolithography and Process.
David W. Rosen works mostly in the field of Manufacturing engineering, limiting it down to concerns involving Computer Aided Design and, occasionally, Engineering design process.
His Systems engineering research incorporates themes from New product development, Conceptual design and Software engineering.
His work deals with themes such as Product design and Cloud-based design and manufacturing, which intersect with New product development.
His studies in Stereolithography integrate themes in fields like Mold, Rapid prototyping, Process and Optics.
His study in Computer-integrated manufacturing concentrates on Integrated Computer-Aided Manufacturing and Process development execution system.
He most often published in these fields:
- Manufacturing engineering (18.82%)
- Engineering drawing (12.08%)
- Systems engineering (9.83%)
What were the highlights of his more recent work (between 2018-2021)?
- Design for additive manufacturing (9.55%)
- Mechanical engineering (11.52%)
- Manufacturing engineering (18.82%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Design for additive manufacturing, Mechanical engineering, Manufacturing engineering, Workflow and Composite material.
In Design for additive manufacturing, David W. Rosen works on issues like Design methods, which are connected to Design for X, Designtheory and Production planning.
The concepts of his Mechanical engineering study are interwoven with issues in Orders of magnitude, Deposition and Material properties.
His Manufacturing engineering study incorporates themes from Product architecture, Computer Aided Design, Hybrid machine and Process.
His Workflow study also includes
- Optimal design that intertwine with fields like Thread,
- Topology optimization together with Engineering design process, Cantilever, Mathematical optimization, Structure and Beam.
His Composite material research includes themes of Biomaterial, Finite element method and Hexagonal lattice.
Between 2018 and 2021, his most popular works were:
- Rotation Invariant Convolutions for 3D Point Clouds Deep Learning (32 citations)
- Process planning for adaptive contour parallel toolpath in additive manufacturing with variable bead width (14 citations)
- Process planning for adaptive contour parallel toolpath in additive manufacturing with variable bead width (14 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Composite material
His primary areas of study are Artificial intelligence, Process, Machine learning, Design for additive manufacturing and Shape-memory polymer.
As a member of one scientific family, David W. Rosen mostly works in the field of Artificial intelligence, focusing on Design for manufacturability and, on occasion, Software engineering.
His Process study integrates concerns from other disciplines, such as Bead, Variable, Industrial and production engineering, Set and Benchmark.
His Machine learning research integrates issues from Variety and Knowledge base.
The Design for additive manufacturing study combines topics in areas such as Regression analysis, Data-driven, Industrial engineering and Design methods.
His Artificial neural network research is multidisciplinary, incorporating elements of Image processing, Brace and Process.
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