PDF

A continuous quality improvement framework for electrowinning current efficiency

T .E. Moongo, S. Michael

2021enqualityelectrowinningcurrent efficiencystatistical process controlimprovement

Abstract

Language:

Electrowinning consumes a substantial amount of electrical energy, and owing to the ever-increasing unit cost of electrical power, there is a need to improve current efficiency in the process. This research was carried out to design a continuous quality improvement framework for improving electrowinning current efficiency by applying statistical process control (SPC) on an online industrial copper electrowinning operation. A sequential mixed research methodology was applied, and a statistical software package was utilized for analyzing data. It was concluded that metallurgical short-circuits (hotspots) had the most significant effect on current efficiency. Bringing hotspots under statistical control resulted in a 5.40% improvement in current efficiency, which is equivalent to approximately 74 t of 99.999% pure grade A copper cathode production over a period of 1.5 months.

Download

Cite This Work

@article{79cb6fa9-1a13-4476-8284-dc3aed812c44,
  title={A continuous quality improvement framework for electrowinning current efficiency},
  author={T .E. Moongo and S. Michael},
  year={2021},
  language={en}
}
TY  - JOUR
TI  - A continuous quality improvement framework for electrowinning current efficiency
AU  - T .E. Moongo
AU  - S. Michael
PY  - 2021
LA  - en
ER  -

Similar Items

Design for Recovery of Precious and Base

2026enPDF

842063941 SX configuration

2026enPDF

Design of Cobalt solvent extraction and Cobalt electrowinning circuit from Cobalt and Magnesium solution

KAFUMBILA KASONTA JOSEPH

During the design of Cobalt solvent extraction using Cyanex 272 as extractant, the presence of Magnesium in the solvent extraction feed solution makes

2023enPDF

The Nature of Solid Iron and Its Grain Structure

Unknown, Unknown

This study focuses on the fundamental characteristics of solid iron, which is predominantly composed of iron atoms and provides a basis for understand

2023enPDF

Process Engineering and Plant Design

Siddhartha Mukherjee

This book provides a comprehensive overview of the critical aspects of industrial process engineering and plant design, addressing the complexities an

2022enPDF

Artificial intelligence-aided materials design: AI-algorithms and case studies on alloys and metallurgical processes

Rajesh Jha, Bimal Kumar Jha

This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t

2022enPDF