PDF

Investigating The Particle Size Distribution Of Synthesized Copper Powder Via Electrodeposition

Soleh Wahyudi, Syoni Soepriyanto

2021encopper powderdendriticelectrodepositionsize distribution

Abstract

Language:

This paper describes an investigation into the effects of copper concentration, current density, and time of electrolysis on the particle size distribution and morphology of synthesized copper powder via electrodeposition. Characterization of copper powder was performed using Particle Size Analyzer to determine the size distribution, Scanning Electron Microscope to confirm particle size and shape, and X-Ray Diffraction to determine the phase and structure of copper powder. The result shows that copper powder has a single-phase, specifically Cu with purity of 98.42%, face-centred cubic (FCC) crystal lattice, and dendritic structure with cauliflower-like and corn-like shape particles. Electrolysis experiment at a condition of 0.2 A/cm² current density and 0.02 M Cu concentration results in the smallest particle size comprising 0.499 μm at 3 seconds, and the size distribution resembles a normal distribution at 15 minutes.

Download

Cite This Work

@article{c1d1bc04-c6c3-4e2c-81af-87a038b79a18,
  title={Investigating The Particle Size Distribution Of Synthesized Copper Powder Via Electrodeposition},
  author={Soleh Wahyudi and Syoni Soepriyanto},
  year={2021},
  language={en}
}
TY  - JOUR
TI  - Investigating The Particle Size Distribution Of Synthesized Copper Powder Via Electrodeposition
AU  - Soleh Wahyudi
AU  - Syoni Soepriyanto
PY  - 2021
LA  - en
ER  -

Similar Items

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

Metal Casting Processes

Unknown, Unknown

This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu

2023enPDF

Challenges and opportunities in the recovery of gold from electronic waste

Mudila Dhanunjaya Rao, Kamalesh K. Singh

Rapid global technological development has resulted in increased production of electronic waste, which presents both challenges and opportunities in r

2023enPDF

Current technologies for recovery of metals from industrial wastes: An overview

Santhana Krishnan, Nor Syahidah Zulkapli

Fast industrialization has increased the demand for heavy metals, while high-grade ore natural reserves are diminishing. Therefore, alternative source

2021enPDF