Process parameters of the gas-powder weld-deposition of boron carbide

1974 ◽  
Vol 13 (10) ◽  
pp. 810-813
Author(s):  
A. G. Dobrovol'skii ◽  
V. P. Lebedev ◽  
A. A. Kovalenko
Keyword(s):  
Boron Carbide ◽  
Process Parameters

scholarly journals Multi-Objective Optimization of Process Parameters for Powder Mixed Electrical Discharge Machining of Inconel X-750 Alloy Using Taguchi-Topsis Approach

2021 ◽  
Vol 71 (1) ◽  
pp. 1-18
Author(s):  
Basha Shaik Khadar ◽  
Raju M. V. Jagannadha ◽  
Kolli Murahari
Keyword(s):  
Boron Carbide ◽  
Process Parameters ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Optimization Technique ◽  
Dielectric Fluid ◽  
Carbide Powder ◽  
Powder Concentration ◽  
Pulse On Time ◽  
Pulse Off Time

Abstract The paper investigates the influence of boron carbide powder (B4C) mixed in dielectric fluid on EDM of Inconel X-750 alloy. The process parameters selected as discharge current (Ip), pulse on time(Ton), pulse off time(Toff), boron carbide(B4C) powder concentration to examine their performance responses on Material Removal Rate (MRR), Surface Roughness(Ra) and Recast Layer Thickness (RLT).In this study, o examine the process parameters which influence the EDM process during machining of Inconel X-750 alloy using combined techniques of Taguchi and similarity to ideal solutions (TOPSIS).Analysis of variance (ANOVA) was conducted on multi-optimization technique of Taguchi-TOPSIS. ANOVA results identified the best process parameters and their percentages. It developed the mathematical equation on Taguchi-TOPSIS performance characteristics results. The multi optimization results indicated that Ip and Toff are more significant parameters; V, and Ton parameters are less significant. Finally, surface structures were studied at optimized EDM conditions by using scanning electron microscope (SEM).

scholarly journals Ceramics based on reactively sintered boron carbide

2018 ◽  
pp. 9-15
Author(s):  
A. I. Ovsienko ◽  
V. I. Rumyantsev ◽  
S. S. Ordanian
Keyword(s):  
Boron Carbide ◽  
Structure Formation ◽  
Process Parameters ◽  
Molten Silicon ◽  
Reactive Sintering ◽  
Negative Effect ◽  
Sintered Boron ◽  
Carbide Particles

The investigating results are given on the process parameters' influence on the phase and structure formation in the course of the B4C based materials' reactive sintering under the Si molten presence. The interaction of the B4C particles and carbon with the molten silicon was regarded during the reactive sintering. The negative effect of the B4C particles' dissolution in the molten silicon within the reactive sintering was noticed. The methods to raise the boron carbide particles' content in the ceramics based on the reactively sintered boron carbide were discussed.Ill. 10. Ref. 24. Tab. 1.

Abrasive Assisted Electrochemical Machining of Al-B4C Nanocomposite

2015 ◽  
Vol 787 ◽  
pp. 523-527 ◽  
Author(s):  
K. Rajkumar ◽  
L. Poovazhgan ◽  
P. Saravanamuthukumar ◽  
S. Javed Syed Ibrahim ◽  
S. Santosh
Keyword(s):  
Particle Size ◽  
Boron Carbide ◽  
Process Parameters ◽  
Positive Impact ◽  
Removal Rate ◽  
Electrochemical Machining ◽  
Weight Ratio ◽  
High Strength ◽  
High Wear Resistance ◽  
Particle Size Reduction

Aluminium reinforced with SiC, Al2O3 and B4C etc. possesses an attractive combination of properties such as high wear resistance, high strength to weight ratio and high specific stiffness. Among the various reinforced materials used for aluminium, B4C has outperformed all others in terms of hardening effect. Particle size reduction of B4C is found to have positive impact on the material hardness. In the view of physical properties, B4C has less density than that of SiC and Al2O3, which makes it an attractive reinforcement for aluminium and its alloys for light weight applications. In this work, Al nano B4C composite prepared by ultrasonic cavitation method was machined by Abrasive assisted electrochemical machining using cylindrical copper tool electrodes with SiC abrasive medium. In this paper, attempts have been made to model and optimize process parameters in Abrasive assisted Electro-Chemical Machining of Aluminium-Boron carbide nano composite. Optimization of process parameters is based on the statistical techniques using Response Surface Methodology with four independent input parameters such as voltage, current, abrasive concentration and feed rate were used to assess the process performance in terms of material removal rate and surface finish. The obtained results were compared with abrasive assisted electro chemical machining of Aluminium-Boron carbide micro composite and the effect of particle size on the process parameters was analyzed.

Abrasive Assisted Electro Chemical Machining of Aluminum-Boron Carbide-Graphite Hybrid Composite

2014 ◽  
Vol 591 ◽  
pp. 89-93 ◽  
Author(s):  
M. Sankar ◽  
R. Baskaran ◽  
K. Rajkumar ◽  
A. Gnanavelbabu
Keyword(s):  
Boron Carbide ◽  
Process Parameters ◽  
Material Removal Rate ◽  
Material Removal ◽  
Medium Optimization ◽  
Removal Rate ◽  
Statistical Techniques ◽  
Graphite Composite ◽  
Abrasive Medium ◽  
Optimization Of Process Parameters

In this paper, attempts have been made to model and optimize process parameters in Abrasive assisted Electro-Chemical Machining (AECM) of Aluminium-Boron carbide-Graphite composite using cylindrical copper tool electrodes with SiC abrasive medium. Optimization of process parameters is based on the statistical techniques with four independent input parameters such as voltage, current, reinforcement and feed rate were used to assess the AECM process performance in terms of material removal rate. The obtained results are compared with without abrasive assisted electro chemical machining of Aluminium-Boron carbide-Graphite composite. Abrasive assisted ECM process exhibited higher material removal rate from composite material when compared with without abrasive assisted ECM.

Optimization of tribo-mechanical properties of boron carbide reinforced magnesium metal matrix composite

2021 ◽  
pp. 135065012110300
Author(s):  
Manickam Ravichandran ◽  
Gopathy Veerappan ◽  
Veeman Dhinakaran ◽  
Jitendra Kumar Katiyar
Keyword(s):  
Mechanical Properties ◽  
Compressive Strength ◽  
Wear Rate ◽  
Boron Carbide ◽  
Process Parameters ◽  
Signal To Noise Ratio ◽  
Wear Loss ◽  
Magnesium Metal ◽  
Optimum Parameters ◽  
Pin On Disc

In this study, magnesium–boron carbide composites are developed through the powder metallurgy technique and investigated for their tribological properties using a pin-on-disc tribometer. The process parameters such as load, sliding distance, sliding velocity, and concentration (wt%) of boron carbide are optimized using Taguchi's L16 array. A lower wear rate of magnesium–boron carbide composite is obtained at optimized process parameters. Further, the analysis of variance result shows that the most dominating factor that affects the wear loss is load followed by concentration of boron carbide reinforcement. Moreover, the optimum parameters for the low wear rate of magnesium–boron carbide composites are obtained as 5 N, 6 wt% of boron carbide, 1200 m, and 3 m/s through signal-to-noise ratio analysis. Further, the mechanical properties of magnesium–boron carbide composites such as hardness and compressive strength are also analyzed. The result shows that the hardness and compressive strength of magnesium–boron carbide composites are improved with the inclusion of boron carbide reinforcement.

Parametric Optimization of EDM Process of Aluminium Boron Carbide Composite Using Desirability Function Approach and Genetic Algorithm

2014 ◽  
Vol 592-594 ◽  
pp. 684-688 ◽  
Author(s):  
K.R. Thangadurai ◽  
A. Asha
Keyword(s):  
Genetic Algorithm ◽  
Response Surface Methodology ◽  
Boron Carbide ◽  
Response Surface ◽  
Process Parameters ◽  
Electric Discharge ◽  
Machining Process ◽  
Electric Discharge Machining ◽  
Carbide Composite ◽  
Edm Process

Electric discharge machining process is an unconventional machining process primarily used for machining the materials such as difficult to machine in conventional machining process, hardest material and composite materials. In the present work, a study is made to find out the optimum EDM process parameters during machining of AA6061-15% boron carbide composite fabricated through stir casting technique. Three process parameters such as Current, pulse on time and pulse of time are opted as machining parameter variables. Response surface methodology is used to formulate the mathematical model for material removal rate, tool wear rate and surface roughness. Response surface methodology and genetic algorithm are applied to optimize the machining parameters individually by taking combined objective function and compared. Genetic algorithm optimization techniques yields better results than desirability approach. Key words: Electric discharge machining, MRR, TWR, Ra, RSM, Genetic algorithm

Electro Chemical Machining of Aluminum-Boron Carbide-Nanographite Composites

2016 ◽  
Vol 852 ◽  
pp. 136-141 ◽  
Author(s):  
M. Sankar ◽  
A. Gnanavelbabu ◽  
K. Rajkumar ◽  
M. Mariyappan
Keyword(s):  
Boron Carbide ◽  
Process Parameters ◽  
Material Removal ◽  
Solid Lubricant ◽  
Removal Rate ◽  
Electrochemical Machining ◽  
Machining Process ◽  
Abrasive Particles ◽  
Optimization Of Process Parameters ◽  
Machining Optimization

Non-traditional machining process had made possible the machining of hard to cut materials. Among several non-traditional processes electrochemical machining has been given attention since there occurs no burrs or tool wear. Composites with nano reinforcements had outclassed their counterparts in terms of the properties shown by the nano composites. In the present work aluminium matrix has been reinforced with boron carbide and nano graphite which is added as a solid lubricant to improve tribological properties. The composite is subjected to electrochemical machining with a view of optimizing the process parameters. The process involves introducing abrasive particles while machining which aids in machining. Optimization of process parameters was based on the response surface methodology techniques with four independent input parameters such as voltage, current, electrolytic concentration and feed rate and ECM process performance in terms of material removal rate and overcut.

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