OVERLAPPING PARAMETERS OF RAPID PROTOTYPING BASED ON PULSED MICRO-PLASMA ARC WELDING

2006 ◽  
Vol 42 (05) ◽  
pp. 192 ◽  
Author(s):  
Aiyiti WURIKAIXI
Keyword(s):  
Rapid Prototyping ◽  
Arc Welding ◽  
Plasma Arc Welding ◽  
Plasma Arc ◽  
Micro Plasma Arc Welding

scholarly journals Self-adaptive control system for additive manufacturing using double electrode micro plasma arc welding

2020 ◽  
Author(s):  
Nan Li ◽  
Ding Fan ◽  
Jiankang Huang ◽  
Shurong Yu ◽  
Wen Yuan ◽  
...  
Keyword(s):  
Control System ◽  
Additive Manufacturing ◽  
Arc Welding ◽  
Deposition Process ◽  
Plasma Arc Welding ◽  
Plasma Arc ◽  
Metal Parts ◽  
Double Electrode ◽  
Micro Plasma Arc Welding ◽  
Wire Feed

Abstract Wire arc additive manufacturing (WAAM) has been investigated to deposit large-scale metal parts due to its high deposition efficiency and low material cost. However, in the process of automatically manufacturing the high-quality metal parts by WAAM, several problems about the heat build-up, the deposit-path optimization, and the stability of the process parameters need to be well addressed. To overcome these issues, a new WAAM method based on the double electrode micro plasma arc welding (DE-MPAW) was designed. The circuit principles of different metal-transfer models in the DE-MPAW deposition process were analyzed theoretically. The effects between the parameters, wire feed rate and torch stand-off distance, in the process of WAAM were investigated experimentally. In addition, a real-time DE-MPAW control system was developed to optimize and stabilize the deposition process by self-adaptively changing the wire feed rate and torch stand-off distance . Finally, a series of tests were performed to evaluate the control system’s performance . The results show that the capability against interferences in the process of WAAM has been enhanced by this self-adaptive adjustment system. Further, the deposition paths about the metal part’s layer heights in WAAM are simplified. Finally, the appearance of the WAAM-deposited metal layers is also improved with the use of the control system.

Micro Plasma Arc Welding of AM 350 Precipitation Hardening Alloys

2011 ◽  
Vol 121-126 ◽  
pp. 2681-2685 ◽  
Author(s):  
Kuang Hung Tseng ◽  
Yung Chang Chen ◽  
Yung Chuan Chen
Keyword(s):  
Arc Welding ◽  
Precipitation Hardening ◽  
Argon Atmosphere ◽  
Plasma Arc Welding ◽  
Plasma Arc ◽  
Arc Length ◽  
Weld Shape ◽  
Arc Voltage ◽  
Low Sensitivity ◽  
Micro Plasma Arc Welding

Micro plasma arc welding (micro PAW) was carried out AM 350 precipitation hardening alloy to produce an edge-joint weld. The application of micro PAW technique was also demonstrated in the present work. The results indicated that the arc voltage increased with increasing quantity of added hydrogen in the argon atmosphere. The collimated shape of low current plasma arc was mainly responsible for the low sensitivity of weld shape to variations in arc length. The edge welded bellows of AM 350 alloys have been successfully welded using the present micro PAW technique.

Study on the Veritable Parameters Filling Method of Plasma Arc Welding Based Rapid Prototyping

2012 ◽  
Vol 522 ◽  
pp. 110-116 ◽  
Author(s):  
Wurikaixi Aiyiti ◽  
Liu Xiang ◽  
Lian Zhong Zhang ◽  
Ruo Meng Chen
Keyword(s):  
Rapid Prototyping ◽  
Cross Section ◽  
Process Parameters ◽  
Arc Welding ◽  
Experimental Results ◽  
Plasma Arc Welding ◽  
Plasma Arc ◽  
Optimization Parameters ◽  
Filling Method ◽  
Optimizing Model

The filling method of the cross section of the plasma arc welding based rapid prototyping was investigated. Veritable parameters filling method was proposed to improve the building quality. Optimizing model was established according to veritable parameters filling method and filling parameters such as width of deposited tracks and scan spacing were optimized. The process parameters were chosen from the database according to the optimized data. Experimental results showed that the building precision of the deposited layer using optimized parameters was obviously higher than those using non-optimization parameters.

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