Processing, Please wait...

  • 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 » Authors » J. Obiko

⭐ Highly Cited Articles

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

Journals

  • IJIEC (805)
  • IJDS (992)
  • DSL (722)
  • ESM (434)
  • CCL (544)
  • JPM (323)
  • AC (562)
  • JFS (101)
  • MSL (2648)
  • USCM (1104)
  • HE (44)
  • SCI (48)

🔑 Keywords

Supply chain management(169)
Jordan(167)
Vietnam(154)
Customer satisfaction(124)
Performance(116)
Supply chain(113)
Artificial intelligence(99)
Competitive advantage(98)
Service quality(98)
Tehran Stock Exchange(94)
SMEs(92)
Sustainability(91)
optimization(88)
TOPSIS(85)
Financial performance(84)
Trust(84)
Job satisfaction(81)
Knowledge Management(80)
Genetic Algorithm(80)
Social media(79)


» Show all keywords

✍️ Authors

Naser Azad(82)
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)
Hassan Ghodrati(31)
Basrowi Basrowi(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 (39)
17. Brunei (1)
18. Bulgaria (1)
19. Burkina Faso (1)
20. Cameroon (1)
Total: 121 countries

Show all countries
Sort articles by: 📖 Volume | 📅 Date | ⭐ Most Rates | 👁️ Most Views | 🚀 Rising Stars | 📊 Citations (Scopus) | 🔥 Hot Papers
1.

Failure analysis of geothermal API 5L grade B steel pipeline Pages 259-266 Right click to download the paper Download PDF

Authors: J. Obiko, M. Ndeto, J. Mutua, B. Shongwe, N. Malatjia, M. Bodunrin, D. Klenam

doi 10.5267/j.esm.2025.5.001 Crossmark

🔑 Keywords: Geothermal, Steam pipeline, Failure mechanism, Erosion-corrosion

Abstract:
This article reports on the failure analysis of the geothermal steam pipe. Macro and micro examination of failed pipelines was studied using optical and scanning electron microscopy. The energy-dispersive spectroscopy studied the elemental composition of the corroded surface. Further, the study measured the pipe thickness on the failed pipeline section. Visual examination showed a significant thinning of the outer section of the failed pipe to 3 mm from 12.7 mm of the original pipe. The chemical composition results show that the steel meets the minimum requirements for API 5L Grade B steels used in steam pipelines for geothermal power plants. The microstructural analysis of the investigated steel shows that the steel had pearlite and ferrite phases. The steel failure mechanism was due to erosion-corrosion, which caused localised wall thinning near the drain port and elbow section. The study recommends creep-resistant steel for the drain port and elbow for geothermal power plant application.
Details
  • 34
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: ESM | Year: 2025 | Volume: 13 | Issue: 3 | Views: 417

 
2.

Prediction of flow stress characteristics of P92 steel using a simple physically-based constitutive modelling Pages 191-200 Right click to download the paper Download PDF

Authors: J. Obiko, L. Chown, D. Whitefield

doi 10.5267/j.esm.2022.4.007 Crossmark

🔑 Keywords: Flow stress, Deformation, P92 steel, Material constant, Stress exponent, Uniaxial compression

Abstract:
This study reports the flow stress behavior of three P92 steels with different compositions. Uniaxial compression tests were conducted in the deformation temperature range of 575 °C to 650 °C and strain rate range of 0.001-0.5 s-1 using a Gleeble® 3500 thermo-mechanical simulator. A simple physically-based constitutive model was used to analyse the effects of deformation conditions (temperature and strain rate) on the metal flow stress behavior during the deformation process. The method accounts for the temperature dependence of Young’s modulus and the lattice self-diffusion coefficient of Fe in the ferrite. Constitutive equations describing the flow stress behavior of the three P92 steels were developed. From the results, the stress exponent n of 26.13(steel A), 21.61(steel B) and 27.55 (steel C) were obtained using the self-diffusion activation energy in the physically-based constitutive equation. From the results, the three steels had variation in the stress exponent values, which was attributed to differences in elemental content, such as chromium and tungsten. The developed constitutive equations were verified using statistical parameters: Pearson’s correlation coefficient (R) and average absolute relative errors (AARE). Statistical analysis showed that the three steels had the same R of 0.98, while AARE was: 1.68 (steel A), 1.72 (steel B), and 1.82 (steel C). The constitutive equations developed showed a good correlation between the experimental and predicted flow stress data. Hence, the method is applicable in describing flow stress behavior in the metalworking process in the industry.
Details
  • 0
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: ESM | Year: 2022 | Volume: 10 | Issue: 3 | Views: 1060

 

® 2010-2026 GrowingScience.Com