Optimization of green sand casting parameters using taguchi method to improve the surface quality of white cast iron grinding plates — A case study

2017 ◽  
Author(s):  
L. Samaraweera ◽  
S. Thalagala ◽  
P. Gamage ◽  
N. K. B. M. P. Nanayakkara
Keyword(s):  
Cast Iron ◽  
Taguchi Method ◽  
Surface Quality ◽  
White Cast Iron ◽  
Sand Casting ◽  
Green Sand

Study on the Behavior of the Cast-Iron Bonded Grinding Wheel to Machining Properties of Hard and Brittle Materials

2007 ◽  
Vol 24-25 ◽  
pp. 229-232
Author(s):  
S.L. Ma ◽  
Wei Li ◽  
Cong Rong Zhu ◽  
J. Zhang ◽  
H.C. Ye
Keyword(s):  
Grain Size ◽  
Cast Iron ◽  
Tungsten Carbide ◽  
Surface Quality ◽  
Ground Surface ◽  
Grinding Wheel ◽  
Different Grain Size ◽  
Grinding Efficiency ◽  
Machining Properties

Tungsten carbide which is a hard and brittle material was ground by cast-iron bonded diamond wheel with ELID (Electrolytic In-Process Dressing) technique, for the purpose of getting high efficiency, super-precision machining. Three kinds of cast-iron bonded diamond wheels with different grain size were adopted to get different grinding efficiency and surface quality of workpieces. The grinding properties of cast-iron bonded grinding wheels with different grain size and the ground surface quality of tungsten carbide are discussed in this paper. The experiment results indicate that, under the same feeding amount, the grinding efficiency of the wheel with bigger grain size is higher, and it could make the dimension accuracy of the workpiece controllable, but the wheel with smaller grain size could get better ground surface quality. The two grinding phases are decided by the ratio between the size of abrasive grain and the thickness of the oxide layer on the grinding wheel.

Conversion of a Telecommunications Antenna into a Radio Telescope: Laser Scanner Measurements of Optics and Dish Surface Quality of a Cassegrain Antenna

2019 ◽  
Vol 08 (03) ◽  
pp. 1950010
Author(s):  
Asif Rasha ◽  
Tim Natusch ◽  
Christophe Granet ◽  
Sergei Gulyaev
Keyword(s):  
Surface Quality ◽  
Radio Telescope ◽  
Surface Deformation ◽  
Elevation Angle ◽  
Laser Scanner ◽  
Length Variation ◽  
Cassegrain Antenna ◽  
Telescope Optics

A number of countries have identified redundant large telecommunications antennas (TA) and indicated their intention to convert them into radio telescopes (RT). As the efficiency of a parabolic dish radio telescope depends on its surface quality and optical alignment, a careful assessment of these properties should be undertaken before conversion. Here, as a case study, we describe a laser scanning (LS) procedure we developed and used for the Warkworth 30[Formula: see text]m Cassegrain antenna. To investigate gravity-induced mechanical deformation of the antenna surfaces and structure, we conducted measurements at elevation angles ranging from 6 to 90 degrees. The ability of a laser scanner to survey its nominal [Formula: see text] steradian surroundings allows for simultaneous study of the main and subreflectors, readily permitting a dynamic investigation of variation of the telescope optics as elevation changes occur. In particular, the method we present here allows determination of the surface quality of both main and subreflectors, the displacement between centers of the reflectors, their relative rotations and focal length variation as a function of elevation angle. We discuss details of settings, measurements, data processing and analysis focusing on possible difficulties and pitfalls. In our case study, no significant elevation-dependent surface deformation of the reflectors was observed, with the overall standard deviation of the postfit residuals varying between 1.0 and 1.7[Formula: see text]mm as elevation angle changes from 90∘ to 6∘, respectively. We, therefore, conclude that in our case both the main reflector and the subreflector, as well as the telescope optics, remain unaffected by gravitational deformation within the accuracy of the measurements, a conclusion that can possibly be extended to the similar class of TA currently considered for conversion.

Meta-Heuristic Structure for Multiobjective Optimization Case Study

2014 ◽  
pp. 38-58
Author(s):  
T. Ganesan ◽  
I. Elamvazuthi ◽  
K. Z. KuShaari ◽  
P. Vasant
Keyword(s):  
Performance Metrics ◽  
Heuristic Algorithms ◽  
Weighted Sum ◽  
Optimal Solutions ◽  
Green Sand ◽  
Weighted Sum Method ◽  
Real World Problem ◽  
Green Sand Mould System

In engineering optimization, one often encounters scenarios that are multiobjective (MO) where each of the objectives covers different aspects of the problem. It is hence critical for the engineer to have multiple solution choices before selecting of the best solution. In this chapter, an approach that merges meta-heuristic algorithms with the weighted sum method is introduced. Analysis on the solution set produced by these algorithms is carried out using performance metrics. By these procedures, a novel chaos-based metaheuristic algorithm, the Chaotic Particle Swarm (Ch-PSO) is developed. This method is then used generate highly diverse and optimal solutions to the green sand mould system which is a real-world problem. Some comparative analyses are then carried out with the algorithms developed and employed in this work. Analysis on the performance as well as the quality of the solutions produced by the algorithms is presented in this chapter.

Restoration of Agricultural Machines Surfaces by White Cast Iron with the Formation of Technological Repair Units

2018 ◽  
Vol 927 ◽  
pp. 43-47
Author(s):  
V.K. Afanasyev ◽  
A.P. Chernysh ◽  
S.V. Dolgova
Keyword(s):  
Surface Layer ◽  
Cast Iron ◽  
White Cast Iron ◽  
Low Cost ◽  
Operating Conditions ◽  
Technological Environment ◽  
New Approach ◽  
Selection Of ◽  
Agricultural Machines

This article develops a fundamentally new approach in the selection of optimal methods for restoring of worn surfaces of agricultural machines’ tools with the formation and application of technological repair units. Based on the systematization and linkage of modular worn-out surfaces, their operating conditions, technological environment and the choice of their optimal combinations, it found a low-cost method of restoring details with white cast iron to gain a necessary quality of a new surface layer.

Application of Taguchi-based Six Sigma method to reduce defects in green sand casting process: a case study

2019 ◽  
Vol 13 (2) ◽  
pp. 226
Author(s):  
Mahantesh M. Ganganallimath ◽  
Suraj Dhondiram Patil ◽  
E.V. Gijo ◽  
Roopa B. Math ◽  
Vijaykumar Hiremath
Keyword(s):  
Six Sigma ◽  
Casting Process ◽  
Sand Casting ◽  
Green Sand

scholarly journals Spectral Properties of Milling and Machined Surface

2016 ◽  
Vol 836-837 ◽  
pp. 570-577 ◽  
Author(s):  
Gabor Stepan ◽  
Mate Toth ◽  
Daniel Bachrathy ◽  
Suri Ganeriwala
Keyword(s):  
Surface Quality ◽  
Spectral Properties ◽  
Cutting Tools ◽  
Milling Process ◽  
Machined Surface ◽  
Industrial Case Study ◽  
Machined Surface Quality ◽  
Negative Effect

Machine tool vibrations cause uncomfortable noise, may damage the edges of cutting tools or certain parts of machine tools, but most importantly, they always have negative effect on the quality of the machined surface of workpieces. These vibrations are especially intricate in case of milling processes where complex tool geometries are used, like helical, serrated, non-uniform pitch angles, and so on. During the milling process, the arising vibrations include free, forced, self-excited, and even parametrically forced vibrations together with their different combinations. Regarding surface quality, the most harmful is the self-excited one called chatter, which is related to the regenerative effect of the cutting process. Its relation to machined surface quality is demonstrated in an industrial case study. The modelling and the corresponding cutting stability are presented in case of a helical tool applied for milling with large axial immersions. The extremely rich spectrum of the measured vibration signals are analyzed by means of model-based predictions, and the results are compared with the spectral properties of the corresponding machined surfaces. The conclusions open the way for new kinds of chatter identification.

The Wear Evaluation of Blasting Machine’s Blades

2014 ◽  
Vol 635 ◽  
pp. 190-193
Author(s):  
Janette Brezinová ◽  
Dagmar Draganovská ◽  
Anna Guzanová ◽  
Marek Vojtko
Keyword(s):  
Cast Iron ◽  
Structural Analysis ◽  
Chemical Analysis ◽  
Abrasive Wear ◽  
White Cast Iron ◽  
Experimental Part ◽  
Current State ◽  
Wear Evaluation ◽  
Loose Fill

The contribution deals with the evaluation of wear blades continuous blasting machine. The current state of wear of blades and a description of the blasting process is analyzed. In the experimental part of this work the quality of the blades is evaluated by measuring the hardness of materials, chemical analysis of the samples and their structural analysis. Abrasive wear was evaluated in loose fill abrasive and in the environment with firmly bonded abrasives. The results of the measurements showed that the material of the blades is hypoeutectic white cast iron with different carbon and alloying, especially Chromium.

Welding Parameter Optimization of Surface Quality by Taguchi Method

2014 ◽  
Vol 660 ◽  
pp. 109-113
Author(s):  
Chuan Huat Ng ◽  
Mohd Khairulamzari Hamjah
Keyword(s):  
Taguchi Method ◽  
Surface Quality ◽  
Weld Pool ◽  
Welding Current ◽  
Droplet Formation ◽  
Welding Parameter ◽  
Welding Parameters ◽  
Weld Parameters ◽  
Selection Of

An experimental study of GTAW was conducted to determine the optimization of weld parameters on the droplet formation in the surface quality of weld pools. These optimization investigations consisted of welding current, welding speed and feed rate. The strength and surface quality of weld pool were measured for each specimen after the welding parameter optimizations and the effect of these parameters on droplet formation were researched. To consider these quality characteristics together in the selection of welding parameters, the Orthogonal Array of Taguchi method is adopted to analyze the effect of each welding parameter on the weld pool quality, and then to determine the welding parameters with the optimal weld pool quality.

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