scholarly journals Studying joint influence of a number of factors on borehole cleaning

2021 ◽  
Vol 44 (4) ◽  
pp. 448-457
Author(s):  
A. I. Lambin
Keyword(s):  
Drilling Fluid ◽  
Factorial Experiment ◽  
Cuttings Transport ◽  
Main Method ◽  
Full Factorial Experiment ◽  
Product Removal ◽  
Joint Influence ◽  
Number Of Factors ◽  
Influence Degree ◽  
Full Factorial

Studying the behavior of cuttings transport under various conditions using experimental observations and computational fluid dynamics is the main method for analyzing the influence of cuttings, fluid and operating parameters on well cleaning. Despite the existing abundant models and recommendations of researchers, still there are problems with the accuracy of determining the cuttings layer height, critical velocity and other key parameters, which complicates the task of effective solution of the problem of borehole cleaning. The purpose of the study is to analyze the models obtained via the organization of a full factorial experiment and variance analysis to identify the influence of such factors as viscosity and flow rate of the drilling fluid in the annular space and the inclination angle of the well on the degree of cuttings transport. The studies of the kind are carried out using special devices called flow loops. Experimental data were taken from literature sources. To organize a full factorial experiment, the data of the dependent variable were combined into a combinational square, which simplified the coding of factor values. After setting the full factorial experiment, the models were obtained that made it possible to assess the contribution of the studied factors to the process of destruction product removal within the intervals determined while setting the research tasks. The obtained models allowed to determine the influence degree of each of the factors on the process under investigation. The results of the succeeding analysis of variance confirmed the indicated degree of influence and determined the rank of each of the factors in percentage.

Principles of exposure of polymer materials to heat, moisture and UV-radiation and study of their properties by full factorial experiment: A review

2021 ◽  
pp. 146-160
Author(s):  
A. B. Laptev ◽  
A. S. Nesterov ◽  
A. M. Vardanyan ◽  
A. M. Vardanyan
Keyword(s):  
Uv Radiation ◽  
Climatic Factors ◽  
Initial Period ◽  
Amorphous State ◽  
Surface Oxidation ◽  
Polymer Chains ◽  
Factorial Experiment ◽  
Polymer Materials ◽  
Full Factorial Experiment ◽  
Full Factorial

The work is dedicated to the effects of climatic factors on polyethylene terephthalate (PET) in terms of changes in the structure and interaction of polymer molecules. The kinetic concept of the strength of PET has been developed, and the factors influencing the strength have been considered. Effects of moisture, thermal oxidative destruction, and UV-radiation on the structure of PET have been investigated. Polymers’ properties predicting, durability and their computer modeling have been analyzed. A model of changes in PET properties under the influence of temperature, moisture and UV-radiation was constructed using the methods of a full factorial experiment. It has been shown that in the initial period of exposure, adsorption and diffusion of moisture, hydrolysis and surface oxidation occur; prolonged and constant exposure to UV-radiation break the bonds formed by moisture, then the C–C and C–O bonds in the PET molecule brake and new intermolecular bonds are formed. In the amorphous state of PET, the breaking of bonds in the polymer chain and the formation of bonds between two adjacent polymer chains, the formation of more densely packed nodes, the destruction of the polymer and its aging, are equally probable. Temperature has a secondary effect, facilitating both hydrolysis and oxidation and polymer degradation.

scholarly journals The influence of technological parameters for the production of plasticized polyvinylbutyral films on their optical and physico-mechanical properties

2019 ◽  
pp. 7-8
Author(s):  
M. M. Egorov ◽  
V. I. Milov ◽  
M. K. Timin ◽  
T. P. Mukhina ◽  
V. S. Smirnov ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Mathematical Analysis ◽  
Polyvinyl Butyral ◽  
Factorial Experiment ◽  
Regression Equations ◽  
Technological Parameters ◽  
Full Factorial Experiment ◽  
Effect Of Pressure ◽  
Direct Pressing ◽  
Full Factorial

The effect of pressure, temperature and time during direct pressing on the strength and optical characteristics of adhesive plasticized polyvinyl butyral films is studied. A mathematical analysis of the results of a full factorial experiment is carried out and the regression equations are derived.

Study of cadmium adsorption onto calcite using full factorial experiment design

2017 ◽  
Vol 83 ◽  
pp. 222-233 ◽  
Author(s):  
Sabah Hajji ◽  
Thouraya Turki ◽  
Ali Boubakri ◽  
Mohamed Ben Amor ◽  
Nadia Mzoughi
Keyword(s):  
Experiment Design ◽  
Factorial Experiment ◽  
Full Factorial Experiment ◽  
Cadmium Adsorption ◽  
Full Factorial

Improvement of Surface Roughness on ABS 400 Polymer Using Design of Experiments (DOE)

2007 ◽  
Vol 561-565 ◽  
pp. 2389-2392 ◽  
Author(s):  
Daniel Horvath ◽  
Rafiq Noorani ◽  
Mel Mendelson
Keyword(s):  
Surface Roughness ◽  
Fused Deposition Modeling ◽  
Factorial Experiment ◽  
Full Factorial Experiment ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Full Factorial ◽  
Model Temperature ◽  
Three Factor ◽  
Significant Factors

The objective of this research was to find the best combination of factor levels that minimized the surface roughness of prototyped samples from Fused Deposition Modeling (FDM). Two sets of experiments were conducted for that purpose; a two-level three-factor full factorial experiment and a three-level two-factor full factorial experiment. The parameters chosen for this research were model temperature, layer thickness and part fill style. The results obtained from both experiments were compared and analyzed in order to determine the best combination of factors that minimized the surface roughness of the specimens. The significant factors, their interactions and the optimum setting are presented in this paper

scholarly journals ANALISIS PERBAIKAN KUALITAS INJECTION PART DENGAN PENDEKATAN LEAN SIX SIGMA

2020 ◽  
Vol 1 (01) ◽  
pp. 79-90
Author(s):  
Miftakul Huda
Keyword(s):  
Injection Molding ◽  
Six Sigma ◽  
Rejection Rate ◽  
Lean Six Sigma ◽  
Factorial Experiment ◽  
Full Factorial Experiment ◽  
Yield Rate ◽  
Sigma Level ◽  
And Control ◽  
Full Factorial

Lean Six Sigma is a collective approach, which uses various techniques and tools for quality improvement. Here, Lean Six Sigma methodology was applied to a small injection molding unit (which can be taken as representative of small and medium-size industries) manufacturing casing of electronics part. The DMAIC (Define, Measure, Analyze, Improve and Control) approach of Lean Six Sigma was applied to reduce the rejection rate of the casing (child part of an electronic product) by changing setting parameters: mold temperature, injection pressure and injection speed in the injection mold process. The statistical techniques such as DOE full factorial experiment, and process capability analysis were done to finding the process capability before and after the Lean Six Sigma implementation. After implementing the Lean Six Sigma DMAIC approach it was found that injection molding firms can increase their profit by increase yield rate and deleting rejection rate of casing part. Lean Six Sigma implementation increase the process sigma level from 4,3σ to 4,7σ by a reduction in casing flow mark variation and transparency. This increase in sigma level will give defect cost reduction to the industry which is a good figure for such an industry.  Abstrak Lean Six Sigma adalah pendekatan kolektif, yang menggunakan berbagai teknik dan alat untuk peningkatan kualitas. Di sini, metodologi Lean Six Sigma diterapkan pada unit injection molding kecil (yang dapat dianggap mewakili industri ukuran kecil dan menengah) manufaktur casing part. Pendekatan DMAIC (Define, Measure, Analyze, Improve and Control) Lean Six Sigma diterapkan untuk mengurangi tingkat penolakan casing part (bagian anak dari produk elektronik) dengan mengubah tiga setting parameter: suhu mold, tekanan dan kecepatan injection dalam proses cetakan injeksi. Teknik statistik seperti DOE full factorial experiment,dan  analisis kemampuan proses dilakukan untuk menemukan kemampuan proses sebelum dan sesudah implementasi Lean Six Sigma. Setelah menerapkan pendekatan Lean Six Sigma DMAIC ditemukan bahwa perusahaan injection molding dapat meningkatkan keuntungannya dengan menaikan yield rate dengan mengendalikan tingkat penolakan casing part. Implementasi Lean Six Sigma meningkatkan tingkat sigma proses dari 4,3σ menjadi 4,8σ dengan mengurangi variasi flow mark dan transperancy. Kenaikan tingkat sigma ini akan memberikan pengurangan biaya akibat cacat ke industri yang merupakan contoh yang baik untuk industri semacam ini.                                                                                                                                                

scholarly journals Estimation of ergonomic indicators of special purpose clothing for patients with thermal injuries

2021 ◽  
pp. 80-85
Author(s):  
G. S. Shaizadanova ◽  
K. Zh. Kucharbaeva ◽  
N. S. Mokeeva ◽  
L. B. Loginova ◽  
K. K. Abilkalamova
Keyword(s):  
Mathematical Model ◽  
Optimal Design ◽  
Human Body ◽  
Factorial Experiment ◽  
Full Factorial Experiment ◽  
Ic 10 ◽  
Thermal Injuries ◽  
Full Factorial ◽  
Contact Pressures

This article discusses the determination of the optimal design allowances for a full factorial experiment in the development of special-purpose clothing for patients with thermal injuries in a hospital. To assess the ergonomic performance of special-purpose clothing, was used of pressure exerted by clothing on the human body. Based on the results of the study, a mathematical model was developed based on a full factorial experiment. In accordance with the presented mathematical models, the minimum values of contact pressures are obtained for the following values of construction parameters: for a cut with a sewn-in sleeve Warmhole = 15 cm, Ifa = 5,0 cm, Ic = 9 cm, Hse = 10 cm; for a cut with a raglan sleeve Warmhole = 15 cm, Ifa = 6 cm, Ic = 10 cm; for a cut with a one-piece sleeve Warmhole = 16 cm, Ifa = 6 cm, Ic = 11 cm.

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