Study on the Production Factors in the Process of Production and Properties of Fly Ash-Based Coarse Aggregates

An optimization study was carried out for the sustainable production of coarse aggregates from fly ash and alkaline solution, considering the combined effect of alkaline solution and production process. The trial mixes during the process of producing the artificial aggregates were designed through Taguchi’s experimental design method. The combined effect of alkaline solution (geopolymerisation) and production process (pelletization factors) along with engineering properties of the produced coarse aggregates was evaluated using response indices at different curing ages. Furthermore, the influence of each individual factor of geopolymerisation and pelletization on the engineering properties was determined through grey relational analysis to identify the most influencing factors in the production of coarse aggregates. The results obtained from grey relational analysis indicate that the properties of produced aggregates are governed mostly by geopolymerisation. It is also observed that water content of 20% by mass of fly ash is found to be essential for the suitable production of coarse aggregates and factors such as Na2O content and curing regime improved the engineering properties.

Download Full-text

Multi-Response Optimization on Mechanical Properties of Silica Fly Ash Filled Polyester Composites Using Taguchi-Grey Relational Analysis

Silicon ◽

10.1007/s12633-017-9660-8 ◽

2018 ◽

Vol 10 (4) ◽

pp. 1723-1729 ◽

Cited By ~ 22

Author(s):

P. Nantha Kumar ◽

A. Rajadurai ◽

T. Muthuramalingam

Keyword(s):

Mechanical Properties ◽

Fly Ash ◽

Grey Relational Analysis ◽

Relational Analysis ◽

Response Optimization ◽

Polyester Composites ◽

Grey Relational

Download Full-text

Multi-response optimization using Taguchi-Grey relational analysis for composition of fly ash-ground granulated blast furnace slag based geopolymer concrete

Construction and Building Materials ◽

10.1016/j.conbuildmat.2020.118049 ◽

2020 ◽

Vol 241 ◽

pp. 118049 ◽

Cited By ~ 7

Author(s):

Jnyanendra Kumar Prusty ◽

Bulu Pradhan

Keyword(s):

Blast Furnace ◽

Fly Ash ◽

Grey Relational Analysis ◽

Blast Furnace Slag ◽

Geopolymer Concrete ◽

Relational Analysis ◽

Granulated Blast Furnace Slag ◽

Response Optimization ◽

Grey Relational ◽

Furnace Slag

Download Full-text

Wear Studies on SiC and Fly Ash Reinforced Copper Based Composites by Grey Relational Analysis

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.984-985.304 ◽

2014 ◽

Vol 984-985 ◽

pp. 304-312 ◽

Cited By ~ 4

Author(s):

Ponnambalam Balamurugan ◽

Marimuthu Uthayakumar

Keyword(s):

Fly Ash ◽

Grey Relational Analysis ◽

Sliding Wear ◽

Design Parameters ◽

Dry Sliding Wear ◽

Sliding Velocity ◽

Relational Analysis ◽

Pin On Disc ◽

Hybrid Metal Matrix Composite ◽

Grey Relational

Copper base composites are extensively used in applications where high temperature and corrosive environment. In the present investigation a hybrid metal matrix composite is prepared in which copper is used as a matrix, SiC and Fly ash as reinforcements. The composite is produced by powder metallurgy technique. Dry sliding wear characteristics of the prepared composite specimes were studied by pin on disc setup and optimised result was found through grey relational analysis. Analysis of variance is used to investigate the significance of design parameters which affect the wear characteristic of the materials. The results showed that sliding velocity is having the significant effect than the other parameters.

Download Full-text

Optimization of Woven Fabric Production Process on Picanol Omniplus Air Jet Machine Using Taguchi Multi-response and Grey Relational Analysis Methods

Lecture Notes in Mechanical Engineering - iMEC-APCOMS 2019 ◽

10.1007/978-981-15-0950-6_45 ◽

2019 ◽

pp. 291-297

Author(s):

Yunus Nazar ◽

Eko Pujiyanto ◽

Cucuk Nur Rosyidi

Keyword(s):

Production Process ◽

Grey Relational Analysis ◽

Woven Fabric ◽

Relational Analysis ◽

Air Jet ◽

Analysis Methods ◽

Fabric Production ◽

Grey Relational

Download Full-text

Multi-response optimisation of sintering parameters of Al–Si alloy/fly ash composite using Taguchi method and grey relational analysis

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-009-1973-3 ◽

2009 ◽

Vol 45 (3-4) ◽

pp. 362-369 ◽

Cited By ~ 46

Author(s):

H. Siddhi Jailani ◽

A. Rajadurai ◽

B. Mohan ◽

A. Senthil Kumar ◽

T. Sornakumar

Keyword(s):

Fly Ash ◽

Taguchi Method ◽

Grey Relational Analysis ◽

Relational Analysis ◽

Grey Relational

Download Full-text

Fabrication of Al/Fly Ash MMC, Identifying Mechanical Properties , Multi Objective Optimization for Turning Process Using Grey Relational Analysis

International Journal of Mechanical and Production Engineering Research and Development ◽

10.24247/ijmperdaug2018105 ◽

2018 ◽

Vol 8 (4) ◽

pp. 1013-1026 ◽

Cited By ~ 1

Author(s):

V. Ajay et al., V. Ajay et al., ◽

Keyword(s):

Mechanical Properties ◽

Fly Ash ◽

Grey Relational Analysis ◽

Multi Objective Optimization ◽

Turning Process ◽

Multi Objective ◽

Relational Analysis ◽

Grey Relational

Download Full-text

Optimization of WEDM Process Parameters of Hybrid Composites (A413 / B4C / Fly Ash) Using Grey Relational Analysis

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.592-594.658 ◽

2014 ◽

Vol 592-594 ◽

pp. 658-662 ◽

Cited By ~ 4

Author(s):

J. Milton Peter ◽

J. Udaya Prakash ◽

T.V. Moorthy

Keyword(s):

Surface Roughness ◽

Fly Ash ◽

Process Parameters ◽

Material Removal Rate ◽

Grey Relational Analysis ◽

Material Removal ◽

Hybrid Composites ◽

Removal Rate ◽

Relational Analysis ◽

Grey Relational

This paper presents an optimum method to find the significant parameters affecting Wire Electrical Discharge machining (WEDM) performance using Grey relational analysis. A413 Aluminium Alloy reinforced with 20 microns of Boron Carbide and 75 microns of Fly Ash, hybrid composites was fabricated using stir casting technique. Experiments have been conducted with the process parameters like pulse on time, pulse off time, wire feed, gap voltage and weight percentage reinforcement with three different levels. The influence of each parameter on the responses material removal rate and surface roughness is established using analysis of variances (ANOVA). The optimal machining-parameters setting for minimum surface roughness and maximum material removal rate was obtained by applying Grey relational analysis.

Download Full-text