Improved sorptivity models for mortar and concrete based on significant process parameters

2021 ◽  
pp. 103912
Author(s):  
Korakuti Hanumanthu ◽  
Kaustav Sarkar
Keyword(s):  
Process Parameters ◽  
Significant Process

Systems Analysis of Process Control Capabilities for Forging Accuracy

2017 ◽  
Vol 265 ◽  
pp. 1110-1115 ◽  
Author(s):  
V.G. Shibakov ◽  
D.L. Pankratov ◽  
R. Khairullin
Keyword(s):  
Process Control ◽  
Process Parameters ◽  
Systems Analysis ◽  
Simulation Modeling ◽  
Systems Approach ◽  
Dimensional Accuracy ◽  
Significant Process ◽  
Expert Analysis ◽  
Forging Force

The significance matrix for the parameters of “material-billet-equipment-process-tool-personnel-environment” system was compiled using the systems approach to the assurance of forging dimensional accuracy, and the expert analysis revealed the most significant process parameters that affect the accuracy. The application of simulation modeling helped to establish the dependence of forging force on the dimensions of an incoming billet. The paper suggests a solution to increase the accuracy of the sized forgings.

On the effect of process parameters on properties of AlSi10Mg parts produced by DMLS

2014 ◽  
Vol 20 (6) ◽  
pp. 449-458 ◽  
Author(s):  
Manickavasagam Krishnan ◽  
Eleonora Atzeni ◽  
Riccardo Canali ◽  
Flaviana Calignano ◽  
Diego Manfredi ◽  
...  
Keyword(s):  
Process Parameters ◽  
Deep Understanding ◽  
Close Correlation ◽  
Process Window ◽  
Optimum Process ◽  
Sintering Process ◽  
Content Type ◽  
Significant Process ◽  
Macroscopic Properties ◽  
Full Factorial

Purpose – The aim of this research is to reach a deep understanding on the effect of the process parameters of Direct Metal Laser Sintering process (DMLS) on macroscopic properties (hardness and density) of AlSi10Mg parts and resulting microstructure. Design/methodology/approach – A full factorial design of experiment (DOE) was applied to determine the most significant process parameter influencing macroscopic properties of AlSi10Mg parts manufactured by DMLS process. The analysis aims to define the optimum process parameters and deduce the process window that provides better macroscopic properties of AlSi10Mg parts. Optical microscopy observations are carried out to link the microstructure to macroscopic properties. Findings – Macroscopic properties of DMLS parts are influenced by the change in process parameters. There is a close correlation between the geometry of scan tracks and macroscopic properties of AlSi10Mg parts manufactured by DMLS process. Originality/value – The knowledge of utilizing optimized process parameters is important to fabricate DMLS parts with better mechanical properties. The present research based on applying experimental design is the first analysis for AlSi10Mg parts produced in DMLS process.

Multi-Response Optimization of Dissimilar Al-Ti Alloy FSW Using Taguchi - Grey Relational Analysis

2020 ◽  
Vol 833 ◽  
pp. 35-39 ◽  
Author(s):  
Shival Patel ◽  
Kishan Fuse ◽  
Khushboo Gangvekar ◽  
Vishvesh Badheka
Keyword(s):  
Process Parameters ◽  
Grey Relational Analysis ◽  
Traverse Speed ◽  
Anova Analysis ◽  
Friction Stir ◽  
Relational Analysis ◽  
Significant Process ◽  
Grey Relational Grade ◽  
Response Optimization ◽  
Grey Relational

This article presents multi-response optimization of friction stir welding of dissimilar Al 6061-Titanium alloy using Taguchi based grey relational analysis. Taguchi’s L9 orthogonal array was used for designing the experiments. Process parameters considered for the experiments were rotational speed, traverse speed and tilt angle. Ultimate tensile strength, yield strength, and % elongation were the responses measured which all are larger-the-better characteristics. Based on grey relational grade, optimum levels of process parameters were identified and further ANOVA analysis was carried out to find most significant process parameter.

Optimization of Coating Thickness in a Tangential Fluidized Bed

2014 ◽  
Vol 625 ◽  
pp. 131-135
Author(s):  
Ku Zilati Ku Shaari ◽  
Luqman Hakim Hassan ◽  
Zakaria Man
Keyword(s):  
Fluidized Bed ◽  
Air Temperature ◽  
Process Parameters ◽  
Coating Thickness ◽  
Rotation Speed ◽  
Variance Analysis ◽  
Factors Influencing ◽  
Significant Process ◽  
Disc Rotation ◽  
Disc Rotation Speed

The focal intention of this research was to investigate the factors influencing the coating thickness of urea granule by using modified biopolymer which performed in a tangential fluidized bed. The effects of inlet air temperature, disc rotation speed and spraying rate on coating thickness of urea granule were investigated. In this study, the results showed that the significant process parameters which effect the coating thickness was spraying rate (58.585%), followed by disc rotation speed (21.579%) and inlet air temperature (18.883%). The optimized process parameters in this work were 400C for inlet air temperature, 40 rpm for disc rotation speed and 2 rpm for spraying rate. The confirmation run for this work had verified the conclusion from the variance analysis.

Multifactor optimization of FDM process parameters for development of rapid tooling using SiC/Al2O3-reinforced LDPE filament

2018 ◽  
Vol 33 (5) ◽  
pp. 581-598 ◽  
Author(s):  
Piyush Bedi ◽  
Rupinder Singh ◽  
IPS Ahuja
Keyword(s):  
Particle Size ◽  
Process Parameters ◽  
Fused Deposition Modeling ◽  
Dimensional Accuracy ◽  
Rapid Tooling ◽  
Scanning Calorimetry ◽  
Fused Deposition ◽  
Significant Process ◽  
Deposition Modeling ◽  
Sic Reinforcement

In this work, multifactor optimization of fused deposition modeling (FDM) process parameters has been reported for in-house prepared feedstock filament comprising of SiC/Al2O3 reinforced in recycled low-density polyethylene (LDPE) matrix with different particle sizes (i.e. single particle size (SPS), double particle size (DPS), and triple particle size (TPS) in different proportions). This study has been conducted on Al2O3-based DPS reinforcement in LDPE, which came out as a better solution during pilot experimentation in comparison to SPS, TPS, and SiC reinforcement, for printing of functional prototypes as rapid tooling (RT). The result of study suggests that infill angle in the FDM process is the most significant process parameter (contributing around 93%) for preparation of RT as regards dimensional accuracy and hardness is concerned. The RT so prepared is thermally stable as evident from differential scanning calorimetry analysis. Further, the photomicrographs observed in different planes suggest that, at the proposed settings, RT has a uniform distribution of reinforcement in LDPE matrix and can be gainfully used in light machining applications.

Parametric Optimization of Age Hardenable Aluminum Alloys Using TGRA Coupled with PCA

2015 ◽  
Vol 813-814 ◽  
pp. 613-619 ◽  
Author(s):  
D. Vijayan ◽  
V. Seshagiri Rao
Keyword(s):  
Aluminum Alloys ◽  
Axial Force ◽  
Process Parameters ◽  
Welding Speed ◽  
Rotational Speed ◽  
Tensile Elongation ◽  
Principal Component ◽  
Relational Analysis ◽  
Significant Process ◽  
Grey Relational

We investigated multi objective optimization on age hardenable aluminum alloys (AA2024 and AA6061) using Taguchi based grey relational analysis (TGRA). We considered three significant process parameters such as rotational speed, welding speed, and axial force and evaluated the welding responses such as ultimate tensile strength and tensile elongation of fabricated weld specimens. Principal component analysis (PCA) was applied to estimate accurate weighting quality characteristics of each response in TGRA. Optimized process parameters were 1700rpm rotational speed, 60mm/min welding speed and 6kN axial force. Results of this approach will be useful in controlling the process parameters effectively.

scholarly journals Recent Progress Trend on Abrasive Waterjet Cutting of Metallic Materials: A Review

2021 ◽  
Vol 11 (8) ◽  
pp. 3344
Author(s):  
Jennifer Milaor Llanto ◽  
Majid Tolouei-Rad ◽  
Ana Vafadar ◽  
Muhammad Aamir
Keyword(s):  
Process Parameters ◽  
Cutting Process ◽  
Abrasive Waterjet ◽  
Future Research ◽  
Metallic Materials ◽  
Waterjet Cutting ◽  
Metal Fabrication ◽  
Abrasive Waterjet Cutting ◽  
Significant Process ◽  
Recent Trends

Abrasive water jet machining has been extensively used for cutting various materials. In particular, it has been applied for difficult-to-cut materials, mostly metals, which are used in various manufacturing processes in the fabrication industry. Due to its vast applications, in-depth comprehension of the systems behind its cutting process is required to determine its effective usage. This paper presents a review of the progress in the recent trends regarding abrasive waterjet cutting application to extend the understanding of the significance of cutting process parameters. This review aims to append a substantial understanding of the recent improvement of abrasive waterjet machine process applications, and its future research and development regarding precise cutting operations in metal fabrication sectors. To date, abrasive waterjet fundamental mechanisms, process parameter improvements and optimization reports have all been highlighted. This review can be a relevant reference for future researchers in investigating the precise machining of metallic materials or characteristic developments in the identification of the significant process parameters for achieving better results in abrasive waterjet cutting operations.

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