Processing, Please wait...

  • Publisher Home
  • Home
  • ๐Ÿ”™ Back
  • ๐Ÿ“š Journals
    • โš™๏ธ IJIEC - Industrial Engineering Computations
    • ๐ŸŒ IJDNS - Data and Network Science
    • ๐Ÿงช CCL - Current Chemistry Letters
    • ๐Ÿ’น AC - Accounting
    • ๐ŸŽฏ DSL - Decision Science Letters
    • ๐Ÿš› USCM - Uncertain Supply Chain Management
    • ๐Ÿ—๏ธ JPM - Journal of Project Management
    • ๐Ÿฅ HE - Healthcare Engineering
    • ๐Ÿ“ˆ SCI - Scientometrica
    • ๐Ÿ”ฉ ESM - Engineering Solid Mechanics
    • ๐ŸŒฟ JFS - Journal of Future Sustainability
    • ๐Ÿ’ผ MSL - Management Science Letters
  • ๐Ÿ“ Submit Article
  • ๐Ÿ“Š Statistics
  • ๐Ÿ“‹ About
    • ๐Ÿ“„ About Us
    • ๐Ÿ“ฐ Blog
    • ๐Ÿ“ข News
    • ๐Ÿ“ง Contact
  • ๐Ÿ“บ Tutorial
  • Search:
  • Advanced Search

Growing Science » Authors » Vinod Kumar

โญ Highly Cited Articles

  • Jaya Algorithm
  • Rao Algorithm
  • TLBO Algorithm
  • ChatGPT and Blended Learning

Journals

  • IJIEC (804)
  • IJDS (992)
  • DSL (722)
  • ESM (434)
  • CCL (563)
  • JPM (350)
  • AC (567)
  • JFS (101)
  • MSL (2658)
  • USCM (1104)
  • HE (51)
  • SCI (51)

๐Ÿ”‘ Keywords

Jordan(172)
Supply chain management(169)
Vietnam(154)
Customer satisfaction(124)
Performance(117)
Supply chain(114)
Service quality(101)
Artificial intelligence(101)
Competitive advantage(98)
Tehran Stock Exchange(94)
SMEs(94)
Sustainability(93)
optimization(88)
TOPSIS(85)
Trust(84)
Financial performance(84)
Job satisfaction(81)
Knowledge Management(80)
Genetic Algorithm(80)
Organizational performance(79)


» Show all keywords

โœ๏ธ Authors

Naser Azad(82)
Zeplin Jiwa Husada Tarigan(68)
Mohammad Reza Iravani(65)
Endri Endri(45)
Muhammad Alshurideh(42)
Hotlan Siagian(41)
Dmaithan Almajali(39)
Jumadil Saputra(36)
Muhammad Turki Alshurideh(35)
Ahmad Makui(33)
Sautma Ronni Basana(32)
Barween Al Kurdi(32)
Basrowi Basrowi(31)
Mohammad Khodaei Valahzaghard(30)
Haitham M. Alzoubi(30)
Hassan Ghodrati(30)
Shankar Chakraborty(29)
Ni Nyoman Kerti Yasa(29)
Sulieman Ibraheem Shelash Al-Hawary(28)
Prasadja Ricardianto(28)


» Show all authors

๐ŸŒ Countries

1. Algeria (52)
2. Angola (2)
3. Argentina (22)
4. Armenia (2)
5. Australia (52)
6. Austria (2)
7. Bahrain (26)
8. Bangladesh (58)
9. Belarus (4)
10. Belgium (3)
11. Benin (2)
12. Benin Republic (1)
13. Bhutan (1)
14. Bosnia and Herzegovina (1)
15. Botswana (8)
16. Brazil (40)
17. Brunei (1)
18. Bulgaria (1)
19. Burkina Faso (1)
20. Cameroon (1)
Total: 121 countries

Show all countries
Sort articles by: ๐Ÿ“– Volume | ๐Ÿ“… Date | โญ Most Rates | ๐Ÿ‘๏ธ Most Views | ๐Ÿš€ Rising Stars | ๐Ÿ”— Citations (Scopus) | ๐Ÿ”ฅ Hot Papers
1.

An experimental study on trim cutting operation using metal powder mixed dielectric in WEDM of Nimonic-90 Pages 133-146 PDF Download PDF

Authors: Vinod Kumar, Kamal Kumar Jangra, Vikas Kumar

doi 10.5267/j.ijiec.2015.7.002

๐Ÿ”‘ Keywords: Machining rate, Metal powder, Micro-hardness, Nimonic-90, Recast layer, Rough cut, Surface roughness, Trim cut, WEDM

Abstract:
This paper presents an experimental study on rough cut, trim cut using distilled water as a dielectric fluid and Al & Si metal powders in dielectric fluid for WEDM of Nimonic-90. First, the influence of discharge energy (DE) in rough cut is evaluated for machining rate (MR) and surface roughness (SR) and compared with trim cut without any metal powder additives in dielectric fluid. The effect of Al and Si metal powders (varying concentration of 1g/L, 2g/L and 3g/L) in dielectric fluid is studied separately and comparison is also made for MR, SR, recast layer and micro hardness of machined Nimonic-90. From the results it is observed that using trim cut, a fine and uniform surface texture is obtained irrespective of the high discharge energy of rough cut. Al and Si powders additives show a significant reduction in MR for trim cutting operation whereas a remarkable modification is obtained in surface textures after trim cut using metals powder mixed dielectric. SR improves with a concentration of 1g/L and shows a little increase with high concentration of both metals powder. Using metals powder in dielectric fluid, the recast layer becomes smooth and denser and thus, micro hardness increases.
Details
  • 85
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: IJIEC | Year: 2016 | Volume: 7 | Issue: 1 | Views: 2614

 
2.

An experimental investigation and statistical modelling for trim cutting operation in WEDM of Nimonic-90 Pages 351-364 PDF Download PDF

Authors: Vinod Kumar, Vikas Kumar, Kamal Kumar Jangra

doi 10.5267/j.ijiec.2015.2.006

๐Ÿ”‘ Keywords: Desirability function, Nimonic-90, Response surface methodology (RSM), Trim cutting, Wire electrical discharge machining

Abstract:
Trim cutting operation in wire electrical discharge machining (WEDM) is considered as a probable solution to improve surface characteristics and geometrical accuracy by removing very small amount of work materials from the surface obtained after a rough cutting operation. In this study, an attempt has been made to model the surface roughness and dimensional shift in trim cutting operations in WEDM process through response surface methodology (RSM). Four process parameters; namely pulse-on time (Ton), servo voltage (SV), wire depth (Wd) and Dielectric flow rate (FR) have been considered as input parameters in trim cutting operations for modelling. Desirability function has been employed to optimize multi performance characteristics. Increasing the value of Ton, Wd and FR increases the surface roughness and dimensional shift but increasing SV decreases both surface roughness and dimensional shift. Quadratic models have been proposed for both the performance characteristics. In present experimentation, thickness of recast layer was observed in the range of 6?m to 12?m for low to high value of discharge parameters.
Details
  • 51
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: IJIEC | Year: 2015 | Volume: 6 | Issue: 3 | Views: 2814

 

® 2010-2026 GrowingScience.Com