Processing, Please wait...

  • Publisher Home
  • Home
  • 🔙 Back
  • 📚 Journals
    • ⚙️ IJIEC - Industrial Engineering Computations
    • 🌐 IJDNS - Data and Network Science
    • 🧪 CCL - Current Chemistry Letters
    • 💹 AC - Accounting
    • 🎯 DSL - Decision Science Letters
    • 🚛 USCM - Uncertain Supply Chain Management
    • 🏗️ JPM - Journal of Project Management
    • 🏥 HE - Healthcare Engineering
    • 📈 SCI - Scientometrica
    • 🔩 ESM - Engineering Solid Mechanics
    • 🌿 JFS - Journal of Future Sustainability
    • 💼 MSL - Management Science Letters
  • 📝 Submit Article
  • 📊 Statistics
  • 📋 About
    • 📄 About Us
    • 📰 Blog
    • 📢 News
    • 📧 Contact
  • 📺 Tutorial
  • Search:
  • Advanced Search

Growing Science » International Journal of Industrial Engineering Computations » Optimization of multiple performance characteristics in turning using Taguchi’s quality loss function: An experimental investigation

⭐ Highly Cited Articles

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

Journals

  • IJIEC (804)
  • IJDS (992)
  • DSL (722)
  • ESM (434)
  • CCL (544)
  • JPM (323)
  • AC (562)
  • JFS (101)
  • MSL (2648)
  • USCM (1104)
  • HE (47)
  • SCI (50)

IJIEC Volumes

    • ▼ Volume 17 (77)
      • Issue 1 (21)
      • Issue 2 (30)
      • Issue 3 (26)
    • ▼ Volume 16 (75)
      • Issue 1 (12)
      • Issue 2 (15)
      • Issue 3 (19)
      • Issue 4 (29)
    • ▼ Volume 15 (55)
      • Issue 1 (19)
      • Issue 2 (15)
      • Issue 3 (12)
      • Issue 4 (9)
    • ▼ Volume 14 (50)
      • Issue 1 (11)
      • Issue 2 (15)
      • Issue 3 (9)
      • Issue 4 (15)
    • ▼ Volume 13 (41)
      • Issue 1 (10)
      • Issue 2 (8)
      • Issue 3 (10)
      • Issue 4 (13)
    • ▼ Volume 12 (29)
      • Issue 1 (9)
      • Issue 2 (6)
      • Issue 3 (8)
      • Issue 4 (6)
    • ▼ Volume 11 (36)
      • Issue 1 (9)
      • Issue 2 (8)
      • Issue 3 (9)
      • Issue 4 (10)
    • ▼ Volume 10 (34)
      • Issue 1 (8)
      • Issue 2 (10)
      • Issue 3 (8)
      • Issue 4 (8)
    • ▼ Volume 9 (32)
      • Issue 1 (9)
      • Issue 2 (6)
      • Issue 3 (7)
      • Issue 4 (10)
    • ▼ Volume 8 (30)
      • Issue 1 (9)
      • Issue 2 (7)
      • Issue 3 (8)
      • Issue 4 (6)
    • ▼ Volume 7 (47)
      • Issue 1 (10)
      • Issue 2 (14)
      • Issue 3 (10)
      • Issue 4 (13)
    • ▼ Volume 6 (39)
      • Issue 1 (7)
      • Issue 2 (12)
      • Issue 3 (10)
      • Issue 4 (10)
    • ▼ Volume 5 (47)
      • Issue 1 (13)
      • Issue 2 (12)
      • Issue 3 (12)
      • Issue 4 (10)
    • ▼ Volume 4 (50)
      • Issue 1 (14)
      • Issue 2 (10)
      • Issue 3 (12)
      • Issue 4 (14)
    • ▼ Volume 3 (77)
      • Issue 1 (10)
      • Issue 2 (15)
      • Issue 3 (20)
      • Issue 4 (12)
      • Issue 5 (20)
    • ▼ Volume 2 (68)
      • Issue 1 (12)
      • Issue 2 (20)
      • Issue 3 (20)
      • Issue 4 (16)
    • ▼ Volume 1 (17)
      • Issue 1 (9)
      • Issue 2 (8)

🔑 Keywords

Supply chain management(168)
Jordan(167)
Vietnam(154)
Customer satisfaction(124)
Performance(116)
Supply chain(113)
Artificial intelligence(99)
Service quality(98)
Competitive advantage(98)
Tehran Stock Exchange(94)
SMEs(92)
Sustainability(91)
optimization(88)
TOPSIS(85)
Financial performance(84)
Trust(84)
Job satisfaction(81)
Genetic Algorithm(80)
Knowledge Management(80)
Social media(79)


» Show all keywords

✍️ Authors

Naser Azad(83)
Zeplin Jiwa Husada Tarigan(67)
Mohammad Reza Iravani(64)
Endri Endri(45)
Muhammad Alshurideh(42)
Hotlan Siagian(40)
Dmaithan Almajali(38)
Jumadil Saputra(36)
Muhammad Turki Alshurideh(35)
Ahmad Makui(33)
Barween Al Kurdi(32)
Basrowi Basrowi(31)
Hassan Ghodrati(31)
Sautma Ronni Basana(31)
Haitham M. Alzoubi(30)
Mohammad Khodaei Valahzaghard(30)
Shankar Chakraborty(29)
Ni Nyoman Kerti Yasa(29)
Sulieman Ibraheem Shelash Al-Hawary(28)
Prasadja Ricardianto(28)


» Show all authors

🌍 Countries

1. Algeria (52)
2. Angola (1)
3. Argentina (22)
4. Armenia (2)
5. Australia (52)
6. Austria (2)
7. Bahrain (26)
8. Bangladesh (57)
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
International Journal of Industrial Engineering Computations
ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 4 Issue 3 pp. 325-336, 2013

Optimization of multiple performance characteristics in turning using Taguchi’s quality loss function: An experimental investigation Pages 325-336 Right click to download the paper Download PDF

Authors: Ashok Kumar Sahoo, Tanmaya Mohanty

📋 Author Affiliations:
Ashok Kumar Sahoo, Tanmaya Mohanty
¹ School of Mechanical Engineering, KIIT University, Odisha, Bhubaneswar-24, India
doi 10.5267/j.ijiec.2013.04.002
15 Source: Scopus
Crossref Source: CrossRef

🔑 Keywords: Chip reduction coefficient, Cutting force, Orthogonal array, Taguchi’s loss function

Abstract: Cutting force and chip reduction coefficient is the important index of machinability as it determines the power consumption and amount of energy invested in machining actions. It is primarily influenced by process parameters like cutting speed, feed and depth of cut. This paper presents the application of Taguchi’s parameter design to optimize the parameters for individual responses. For multi-response optimization, Taguchi’s quality loss function approach is proposed. In the present investigation, optimal values of cutting speed, feed and depth of cut are determined to minimize cutting force and chip reduction coefficient during orthogonal turning. The effectiveness of the proposed methodology is illustrated through an experimental investigation in turning mild steel workpiece using high speed steel tool.

How to cite this paper
APA: Sahoo, A & Mohanty, T. (2013). Optimization of multiple performance characteristics in turning using Taguchi’s quality loss function: An experimental investigation. International Journal of Industrial Engineering Computations, 4(3), 325-336.
Chicago/Turabian: Sahoo, A & Mohanty, T. 2013. "Optimization of multiple performance characteristics in turning using Taguchi’s quality loss function: An experimental investigation." International Journal of Industrial Engineering Computations 4, no. 3 (2013): 325-336.
AMA: Sahoo, A & Mohanty, T. Optimization of multiple performance characteristics in turning using Taguchi’s quality loss function: An experimental investigation. International Journal of Industrial Engineering Computations. 2013;4(3):325-336.

References
Aggarwal, A., Singh, H., Kumar, P., & Singh, M. (2008). Optimizing power consumption for CNC turned parts using response surface methodology and Taguchi’s technique-A comparative analysis. Journal of materials processing technology, 200, 373-384.


Davim, J. P. (2001). A note on the determination of optimal cutting conditions for surface finish obtained in turning using design of experiments. Journal of materials processing technology, 116, 305-308.


Davim, J. P. (2003) Design of optimization of cutting parameters for turning metal matrix composites based on the orthogonal arrays. Journal of materials processing technology, 132, 340-344.


Daniel Kirby, E., Zhang, Z., Chen, J. C., & Chen, J. (2006). Optimizing surface finish in a turning operation using the Taguchi parameter design method. International Journal of Advanced Manufacturing Technology, 30, 1021-1029.


Dhar, N. R., Kamruzzaman, M., & Mahiuddin, A. (2006). Effect of minimum quantity lubrication (MQL) on tool wear and surface roughness in turning AISI-4340 steel. Journal of materials processing technology, 172, 299-304.

Gauri, S. K., & Chakraborty, S. (2009). Multi-response optimization of WEDM process using principal component analysis. International Journal of Advanced Manufacturing Technology, 41, 741–748.


Jayant, A. (2008) Prediction of surface roughness in CNC turning operation using Taguchi design of experiments. IE (I)-PR, 88, 19-25.


Nalbant, M., G?kkaya, H., & Sur, G. (2007). Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning. Materials and Design, 28, 1379-1385.


Palanikumar, K. (2006). Cutting parameters optimization for surface roughness in machining of GFRP composites using Taguchi’s Method. Journal of Reinforced Plastics and Composites, 25(16), 1739-1751.


Phadke, M. S. (1989). Quality engineering using robust design. Englewood Cliffs. NJ: Prentice-Hall.


Piispannen, V. (1948). Theory of formation of metal chips. Journal of Applied Physics, 19(10), 876. Ross, P. J. (1988). Taguchi Techniques for Quality Engineering. McGraw- Hill, New York.


Singh, H., & Kumar, P. (2006). Optimizing feed force for turned parts through the Taguchi Technique. Sadhana. 31(6), 671–681.


Sukthomya, W., & Tannock, J. (2005). The optimisation of neural network parameters using Taguchi’s design of experiments approach: an application in manufacturing process modelling. Neural Computing & Applications, 14(4), 337-344.


Taguchi, G. (1990). Introduction to Quality Engineering. Asian Productivity Organization, Tokyo.


Tosun, N., Ozler, L. (2004). Optimisation for hot turning operations with multiple performance characteristics. International Journal of Advanced Manufacturing Technology, 23, 777-782.


Yang, J. L., & Chen, J. C. (2001). A systematic pproach for identifying optimum surface roughness performance in nd-milling operations. Journal of industrial technology, 17(2), 1-8.
  • 51
  • 1
  • 2
  • 3
  • 4
  • 5

📚 Journal: International Journal of Industrial Engineering Computations | 📅 Year: 2013 | 📖 Volume: 4 | 📄 Issue: 3 | 👁️ Views: 4290 | 📊 Crossref:

Related Articles:
  • Some studies on cutting force and temperature in machining Ti-6Al-4V alloy using regression analysis and ANOVA
  • Optimization of machining parameters of turning operations based on multi performance criteria
  • Effect of machining conditions on MRR and surface roughness during CNC Turning of different Materials Using TiN Coated Cutting Tools – A Taguchi approach
  • Parametric optimization during machining of AISI 304 Austenitic Stainless Steel using CVD coated DURATOMIC cutting insert
  • Surface roughness model and parametric optimization in finish turning using coated carbide insert: Response surface methodology and Taguchi approach

📝 Ready to share your research?

International Journal of Industrial Engineering Computations is accepting new submissions for upcoming issues. Join our community of authors and publish your work with us.

✓ Open access
✓ Rigorous peer review
✓ Fast publication
📤 Submit Your Manuscript →

📖 Author Guidelines

® 2010-2026 GrowingScience.Com