scholarly journals A Preliminary Design of a Hybrid Machine for Additive and Subtractive Manufacturing

2020 ◽  
Vol 5 (1) ◽  
pp. 48
Author(s):  
Nanang Ali Sutisna

<p>Additive manufacturing (AM) or commonly called 3D printing (3DP) and rapid prototyping (RP) is a  technique of blending materials by either fusion, binding, or solidifying materials. Despite many advantages of AM, there is a drawback  of AM such as the surface quality may not be as good as subtractive machining  (SM) process, therefore it will be better to have the initial shape forming process with AM and then finishing the required surface with SM process within a single setup. This paper presents the preliminary design of hybrid AM-SM machine to process a resin based material. The design includes structural design and control design of the machine using the material and firmware widely available in the market.</p><p align="center"><strong> </strong></p><strong>Keyword: </strong>Additive, Subtractive,  Manufacturing,  Hybrid  Machine

Author(s):  
Bing Yao ◽  
Farhad Imani ◽  
Aniket S. Sakpal ◽  
E. W. Reutzel ◽  
Hui Yang

Metal-based powder-bed-fusion additive manufacturing (PBF-AM) is gaining increasing attention in modern industries, and is a promising direct manufacturing technology. Additive manufacturing (AM) does not require the tooling cost of conventional subtractive manufacturing processes, and is flexible to produce parts with complex geometries. Quality and repeatability of AM parts remain a challenging issue that persistently hampers wide applications of AM technology. Rapid advancements in sensing technology, especially imaging sensing systems, provide an opportunity to overcome such challenges. However, little has been done to fully utilize the image profiles acquired in the AM process and study the fractal patterns for the purpose of process monitoring, quality assessment, and control. This paper presents a new multifractal methodology for the characterization and detection of defects in PBF-AM parts. Both simulation and real-world case studies show that the proposed approach effectively detects and characterizes various defect patterns in AM images and has strong potential for quality control of AM processes.


1988 ◽  
Vol 110 (1) ◽  
pp. 65-72 ◽  
Author(s):  
J. M. Starkey ◽  
P. M. Kelecy

A design technique is presented which modifies system dynamics by simultaneously considering control system gains and structural design parameters. Constraint functions are devised that become smaller as (1) structural design parameters and feedback gains become smaller, and (2) closed-loop eigenvalues migrate toward more desirable regions. By minimizing a weighted sum of these functions, the interaction between design performance and design parameters can be explored. Examples are given that show the effects of the weighting parameters, and the potential advantages of this technique over traditional pole placement techniques.


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