Sensing, modeling and control for laser-based additive manufacturing
By D. Hu, Radovan Kovacevic. 2003
329 citations recorded by the source corpus.
Subfields: Automotive Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/b19b29670b5b9e55f0e2be9f2c4890f1f1df0e19
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
In Industrial and Manufacturing Engineering
- M. Ma
- Vijayavel Bagavath-Singh
- B. Dutta
- Zemin Wang
- J. Flynn
- Stephen T. Newman
- Huijun Li
- Vimal Dhokia
In Mechanical Engineering
Citations in the corpus
- Control of melt pool temperature and deposition height during direct metal deposition process (2012, methodology): “These controllers are mostly single-input single-output, including a simple on–off controller [14, 15], simple proportional-integral-derivative (PID) controllers [4, 11, 13], a fuzzy logic-based controller [24], a feed forward PID controller [18], and a sliding mode controller [9, 17].”
- Measurement Science Needs for Real-time Control of Additive Manufacturing Powder Bed Fusion Processes (2015, methodology): “results from the finite element thermal analysis were intended to provide guidance for the process parameter selection and an information base for further residual stress analysis [22][23].”
- Control of shape and performance for direct laser fabrication of precision large-scale metal parts with 316L Stainless Steel (2013, methodology): “Direct laser fabrication (DLF), a rising manufacturing technology developed from laser cladding and rapid prototyping together, has been attracting much intensive research in recent years, since it can directly build full-density and high-performance metal parts from a CAD solid model without using ”
- Research on the processing experiments of laser metal deposition shaping (2007, unknown): “As a result, successive layers are then stacked to produce the entire component volume of fused metal representing the desired CAD model [4,5], thereby building a three-dimensional component additively.”