The Study and Prediction of Corrosion Rate of Ductile Iron in Cassava Fluid Using Java Oriented Program
M. D. Shittu, T. J. Soneye, S. A. Ibitoye
Current Journal of Applied Science and Technology · pp. 28–34 · Published 18 Jul 2022
10.9734/cjast/2022/v41i2531773Abstract
This work studied the corrosion rate of ductile iron in cassava fluid and developed prediction software for the process using Java programming language. The work measured the corrosion effect of the cyanotic cassava fluid on ductile iron by determining the corrosion rate using gravimetric method. Cassava tubers were procured, grated and their fluid were manually squeezed out. The ductile iron samples used were slightly machined and treated with silicon carbide papers and were immersed in the cassava fluid for a period of 30 days. The corrosion specimens were weighed with a digital chemical weighing balance and recorded, this continued at regular interval of 5 days. The results achieved from the experiment were used to model and simulate a Java-oriented program that is capable of predicting the longtime effect of corrosion rate of ductile iron in cassava fluid. Exposure time in days and specific area of samples are the required parameters to generate corrosion rate, weight lost, and the graph of weight loss versus exposure time using the software. This Java application was also expanded to accommodate other metals in different environments.
Cited by 0
No indexed citations yet.
Related research
- The Metrics of Multiple Inheritance and the Reusability of Code – Java and C++ — shares topic coverage
- A Comparative Study of Three Heuristic Functions Used to Solve the 8-Puzzle — shares topic coverage
- Generation of Test Cases from UML Sequence Diagram Based on Extenics Theory — shares topic coverage
- Knowledge and Risk Perceptions of Traditional Jamu Medicine among Urban Consumers — shares topic coverage
- Path Finder: A Game for Desktop Computers — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.