Silicon Carbide Ceramic Turning Process Design and Parameter Analysis

2014 ◽  
Vol 800-801 ◽  
pp. 203-207
Author(s):  
Zhen Bo Wang ◽  
Liang Zhang ◽  
Shu Zhi Li

This article mainly aims at the problem of silicon carbide ceramic mechanical turning difficult processing,by adopting the method of the numerical control turning processing.Design a special fixtures and a NC machining process to accomplish the manufacture of silicon carbide plate.And through the single factor analysis method to process parameters were analyzed.

2014 ◽  
Vol 644-650 ◽  
pp. 650-658
Author(s):  
Kun Peng Gao ◽  
Yang Li ◽  
Bing Hui Chen ◽  
Lu Lu Qi

Three bending strength computing methods of concrete filled steel tube are introduced, including empirical formula method, whole section yield method and simplify numerical method. There are some difference on their computing results. To verify their difference, single factor analysis method is used. The single factor include the thickness of steel tube, the strength of concrete and the strength of steel. The revised results of ABAQUS are used as a benchmark. The analysis include two aspects, one from the changing trends of ABAQUS’ results and the three method’ results when only one factor is increasing, the other from the magnitude of relative error between the results of ABAQUS and the results of every method. Finally, the scope of every method is obtained.


2014 ◽  
Vol 926-930 ◽  
pp. 1214-1217
Author(s):  
Bo Tang

the numerical control milling process design is on the basis of ordinary milling process design, combining with the characteristics of CNC milling machine, give full play to its advantages. CNC milling process design is the key to reasonable arrangement of process route, to coordinate the relationship between the CNC milling process and other process, determine the content and steps of NC milling process make the necessary preparations for programming. NC milling machining process analysis is related to the effectiveness and success or failure, is one of the important preparations before programming. This article will mainly for NC milling machining precision and machining error analysis and research.


2013 ◽  
Vol 441 ◽  
pp. 22-25
Author(s):  
Tao Ran Zhang ◽  
Li Ping Zhou ◽  
Dan Dan Duan

Key parts of pump produces belong to the thin-walled parts.And cutting parameters have a direct influence on the processing accuracy of impeller. To solve this problem, it is necessary to found the simulation model of tool and workpiece based on advanced metal cutting simulation software named Advant Edge FEM. And stress load should be loaded, using single factor analysis method to study the law of influence and its causes of the milling cutting parameters on pump thin-walled parts cutting force. And the gotten results can provide reference for the design and manufacture of pump thin-walled parts.


2011 ◽  
Vol 287-290 ◽  
pp. 2697-2700
Author(s):  
Song Qi Liu ◽  
Xue Han ◽  
Ke Ying Yang ◽  
Yong Zhu Cui

The conditions for extracting sappanwood pigment by cellulase were investigated. The results showed that, compared with traditional water extract method, the absorbance of sappanwood extract raised 35%. Single factor analysis method was done to the enzymatic process, and the optimal extracting conditions were bath ratio 20: 1, mass ratio of sappanwood and cellulase 100:1, enzymolysis at 50°C for 80min, extract at 80°C for 60min. Silk fabric was dyed with the sappanwood extract, the fastness was above grade 3-4.


2017 ◽  
Vol 69 (3) ◽  
pp. 348-354
Author(s):  
Mohd Nor Azam Mohd Dali ◽  
Jaharah A. Ghani ◽  
Che Hassan Che Haron ◽  
Sharudin Hassan

Purpose The purpose of this paper is to produce dimple structure on a cylindrical surface for Aluminium-Silicon (Al-Si) alloy piston (A390) using turning process. The process selection is based on factors such as the capability of machining process, low cost process, minimum set up time and green working environment. Design/methodology/approach Three main machining parameters that greatly influenced the dimple structure fabrication were identified from previous researches (cutting parameters, vibration and cutting tool geometry). To facilitate dimple structure fabrication using turning process, a dynamic assisted tooling (DATT) was developed. Experiments were conducted on Al-Si A390 material for future application of automotive piston. A three-dimensional surface profiler (Alicona) was used for geometry measurement and analysis of dimple structure. The Taguchi method, with an L8 orthogonal array, was used to accommodate seven parameters used in the fabrication of dimpled structures using turning process. Signal-to-noise (S/N) ratio and observation on the shape of dimple structure array were used to determine the optimum machining condition. Findings Optimum parameters obtained using S/N ratio analysis were cutting speed of 9 m/min, depth of cut of 0.01 mm, amplitude displacement of 1 mm, nose radius of 0.4 mm and frequency of (25 Hertz). Whereas feed rate, rake and relief angles were not significant to the size, shape and dimple array; therefore, their selected values depend on requirement of the application. Based on the S/N ratio and uniformity of the array of dimple structure as the main reference, the sixth and eighth experiment conditions almost achieved the optimum condition which are able to produce the width of dimple structure of 396.82 and 560.43 μm, respectively, dimple length of 3,261.6 and 2,422.7 μm, respectively, dimple depth of 63.43 and 65.97 μm, respectively, area ratio of 10 and 10.39 per cent, respectively, and surface roughness of 3.0023 and 3.0054 μm, respectively. These results are within the range of dimple structure obtained by the previous researchers for sliding mechanical components application. Originality/value The optimum condition of machining parameters in producing uniform dimple structure led to the compilation of data base in dimple structure research via turning process. Dimple structure produced is similarly obtained with other processes like laser, burnishing, photochemical, etc. DATT developed has the ability to produce repeatable vibration frequency, stable and consistent amplitude displacement using a simple crank concept and structure that can be mounted on all types of lathe machine either conventional or computer numerical control.


2014 ◽  
Vol 695 ◽  
pp. 558-561
Author(s):  
Mohd Fadzil Faisae Ab Rashid ◽  
Nik Mohd Zuki Nik Mohamed ◽  
Ahmad Nasser Mohd Rose ◽  
Saiful Anwar Che Ghani ◽  
Wan Sharuzi Wan Harun

In machining process, turning is one of process that were significantly change by introduction of computer numerical control (CNC). However, the process improvement is not stopping there, but the focused has change to reduce the machining cost. Improper parameter selection will caused vibration in cutting, unsecure workpiece, unappealing finishing and cost consuming. Therefore, the optimum parameter setting is required because it related to certain quality characteristics such as the unit production cost. This paper presents the study to minimize production cost for CNC turning process by using Ant Colony Optimization (ACO). The result shows that, the ACO was capable to search for optimum production cost in shorter time compare to other methods, including Genetic Algorithm.


1981 ◽  
Vol 46 (6) ◽  
pp. 1332-1347 ◽  
Author(s):  
Martin Koval

The described method uses activated charcoal sampling tubes for air sampling. Adsorbed compounds are eluted by the static desorption procedure with 1 ml of carbon disulphide, 0.5 ml of the supernatant is filtered off and, after internal standard addition, analysed on a gas chromatograph. Using synthetic calibration mixtures of model organic compounds with air, cumulative sampling and desorption efficiencies for 24 substances were determined for concentration ranges and sample volumes according to current Czechoslovak hygienic standards. Experimental results were treated with the single factor analysis of variance and the precision of the described procedure was estimated for the studied model compounds on the basis of residual sums of squares. Calculated values of cumulative sampling and desorption efficiencies and their precisions were compared with available published data and an acceptable agreement was found. In addition to that, cumulative sampling and desorption efficiencies were also found to be significantly correlated to molar volumes and other related molecular properties for some types of compounds.


2021 ◽  
Vol 49 (2) ◽  
pp. 030006052199049
Author(s):  
Xujuan Liu ◽  
Min Zhang ◽  
Riyu Luo ◽  
Keran Mo ◽  
Xingxiang He

Objective Diagnosis of gastric intestinal metaplasia (GIM) relies on gastroscopy and histopathologic biopsy, but their application in screening for GIM is limited. We aimed to identify serological biomarkers of GIM via screening in Guangdong, China. Methods Cross-sectional field and questionnaire data, demographic information, past medical history, and other relevant data were collected. Blood samples were collected for pepsinogen (PG)I, PGII, gastrin-17, and Helicobacter pylori antibody testing, and gastroscopy and histopathologic biopsy were performed. Single factor and logistic regression analyses were used to evaluate the correlation between these indicators and GIM, and decision tree models were used to determine the cut-off points between indicators. Results Of 443 participants enrolled, 87 (19.6%) were diagnosed with GIM. Single factor analysis showed that pepsin indicators (PGI, PGII, and PGI/PGII ratio) and the factors Mandarin as native language, urban residency, hyperlipidemia, and age were associated with GIM. Logistic regression analysis showed that PGI and age were associated with GIM. Conclusions Age is an important factor for predicting GIM progression; age >60 years increased its risk. Detection of GIM was higher in individuals with PGI levels >127.20 ng/mL, which could be used as a threshold indicating the need to perform gastroscopy and histopathologic biopsy.


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