Optimization of process parameters during laser beam cutting of Ni-based superalloy thin sheet along curved profile using grey-fuzzy methodology

2018 ◽  
Vol 40 (8) ◽  
Author(s):  
Priyanka Joshi ◽  
Amit Sharma
Keyword(s):  
Laser Beam ◽  
Process Parameters ◽  
Thin Sheet ◽  
Optimization Of Process Parameters

Process Parameters Control of Deposition of Hollow Cylindrical Part with Internal Wire Feeding through a Hollow Laser Beam

2013 ◽  
Vol 419 ◽  
pp. 305-309 ◽  
Author(s):  
Ming Jun Wu ◽  
Shi Hong Shi ◽  
Ge Yan Fu ◽  
Yu Liu
Keyword(s):  
Laser Beam ◽  
Process Parameters ◽  
Cylindrical Part ◽  
Uneven Surface ◽  
Real Time Control ◽  
Time Control ◽  
Optimization Of Process Parameters ◽  
Wire Feeding ◽  
Formed Part ◽  
Hollow Laser Beam

A new inside-laser coaxial wire feeding processing is adopted that can ensure a good axiality between wire and laser beam through transmitting wire along the centerline of the laser beam. Basing on the optimization of process parameters and single beads cladding experiments, the causes of the uneven surface of the formed part is analyzed. By putting forward a method of the real-time control of the defocusing amount and the laser power, a fine multi-layer hollow rotary part is formed. The formed part has no subsidence damage and crack on the whole cladding layer. The size of the error is small and the hardness of the laser cladding is uniformly distributed.

New Application of Lap Laser Welding on Stainless Steel Railway Vehicles

2010 ◽  
Vol 44-47 ◽  
pp. 2578-2582 ◽  
Author(s):  
Hong Xiao Wang ◽  
Chun Sheng Wang ◽  
Chun Yuan Shi
Keyword(s):  
Stainless Steel ◽  
Laser Beam ◽  
Laser Welding ◽  
Process Parameters ◽  
Laser Power ◽  
Spot Welding ◽  
Tensile Tests ◽  
Railway Vehicles ◽  
Optimization Of Process Parameters ◽  
Focal Position

Recently the problems of resistance spot welding (RSW) stainless steel railway vehicles are causing more attention for poor surface quality. Lap laser welding of stainless steel is investigated with OED(Orthogonal experimental designing ) in this study to replace RSW with the aim of to increase the aesthetics of the car body by eliminating visible indentation on the surface and the flatness of the skin reducing welding deformations. After welding tensile tests and microstructure analysis are performed. The optimization of process parameters were: laser power =2.5kW；welding speed=2.2m/min, focal position=0mm. The fusion zone is symmetrical about the axis of the laser beam and no welding cracks or porosity can be found in any of the welds. This work has great significance of improving the manufacturing level of stainless steel railway vehicles.

Intelligent Modelling and Multi-Objective Optimisation of Laser Beam Cutting of Nickel Based Superalloy Sheet

2013 ◽  
Vol 3 (2) ◽  
pp. 1-16 ◽  
Author(s):  
Amit Sharma ◽  
Vinod Yadava ◽  
K. B. Judal
Keyword(s):  
Laser Beam ◽  
Process Parameters ◽  
Pulse Width ◽  
Thin Sheet ◽  
Cutting Speed ◽  
Pulse Frequency ◽  
Good Prediction ◽  
Ann Model ◽  
Nsga Ii ◽  
Nickel Based Superalloy

In the present study, a novel technique, namely, evolutionary non-dominated sorting genetic algorithm-II (NSGA-II) was used in conjunction with developed artificial neural network (ANN) model to select optimal process parameters for achieving the better process performance in LBC. First, ANN with backpropagation algorithm was used to model the LBC of nickel based superalloy sheets. The input process parameters taken were oxygen pressure, pulse width, pulse frequency and cutting speed. The performance characteristics of interest in nickel based superalloy thin sheet cutting are average kerf taper and surface roughness. The ANN model was trained and tested using the experimental data obtained through experimentation on pulsed Nd-YAG laser beam machining system. The 4-10-11-2 backpropagation architecture was found more accurate and generalized for given problem with good prediction capability. The results show that the developed modelling and optimization tool is effective for process parameter optimization in LBC process. The optimization of the process suggests that for achieving high cut quality characteristics the pulse width, pulse frequency and cutting speed are set to lower limit within the available range and gas pressure is set to a level which is sufficient to remove the molten metal from the kerf.

Optimization of Process Parameters for Production of Pectinase using Bacillus Subtilis MF447840.1

2019 ◽  
Vol 13 (1) ◽  
pp. 69-73 ◽  
Author(s):  
Ram Balak Mahto ◽  
Mukesh Yadav ◽  
Soumya Sasmal ◽  
Biswnath Bhunia
Keyword(s):  
Bacillus Subtilis ◽  
Process Parameters ◽  
Volume Ratio ◽  
Optimum Process ◽  
Agitation Rate ◽  
Fermentation Condition ◽  
Optimization Of Process Parameters ◽  
Food And Beverage ◽  
Pectinase Production ◽  
Sterile Product

Background: Pectinase enzyme has immense industrial prospects in the food and beverage industries. </P><P> Objective: In our investigation, we find out the optimum process parameters suitable for better pectinase generation by Bacillus subtilis MF447840.1 using submerged fermentation. </P><P> Method: 2% (OD600 nm = 0.2) of pure Bacillus subtilis MF447840.1 bacterial culture was inoculated in sterile product production media. The production media components used for this study were 1 g/l of pectin, 2 g/l of (NH4)2SO4, 1 g/l of NaCl, 0.25 g/l of K2HPO4, 0.25 g/l of KH2PO4 and 1 g/l of MgSO4 for pectinase generation. We reviewed all recent patents on pectinase production and utilization. The various process parameters were observed by changing one variable time method. </P><P> Results: The optimum fermentation condition of different parameters was noticed to be 5% inoculums, 25% volume ratio, temperature (37°C), pH (7.4) and agitation rate (120 rpm) following 4 days incubation. </P><P> Conclusion: Maximum pectinase generation was noticed as 345 ± 12.35 U following 4 days incubation.

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