Improving production quality of a hot-rolling industrial process via genetic programming model

2014 ◽  
Vol 49 (3/4) ◽  
pp. 239 ◽  
Author(s):  
Alaa F. Sheta ◽  
Hossam Faris ◽  
Ertan Öznergiz
Keyword(s):  
Genetic Programming ◽  
Hot Rolling ◽  
Programming Model ◽  
Industrial Process ◽  
Production Quality

A Framework for Non-Nominal Visualization and Perceived Quality Evaluation

2011 ◽  
Author(s):  
Ola Wagersten ◽  
Karin Forslund ◽  
Casper Wickman ◽  
Rikard So¨derberg
Keyword(s):  
Industrial Process ◽  
Perceived Quality ◽  
Product Development Process ◽  
Functional Quality ◽  
Quality Aspects ◽  
System Solution ◽  
Comprehensive Framework ◽  
Variation Simulation ◽  
Support Evaluation

Perceived Quality clusters different aspects that influence the customer’s perception of non-functional quality on a product that are perceive through senses. All together those aspects and the harmony between them reflect the producer’s ability to control product parameters and thereby also mirror the functional quality of the product. High Perceived Quality cannot be added to the product at the end of the developing process. Project prerequisites, system solution, factory capability etc. are criterion to succeed. Therefore, it is important to be able to evaluate Perceived Quality early in the process when product system solutions and architecture are defined, although data maturity is low. This paper presents a comprehensive framework to manage and support evaluation of Perceived Quality aspects in a product development process. The framework is based on an industrial process in combination with recent research within the field. The framework focuses on activities that can be performed at different stages in the developing process based on maturity of the CAD or styling data. For example, if the styling data is divided into different components by split-lines it has reached higher level of maturity then styling data that not has been divided. Consequently, the choice of applied method is based on data maturity, regardless phase in the developing process. The framework contains methods based on several different simulation and analysis techniques. Design methods, Computer-Aided Tolerancing and FEA based non-rigid variation simulation are represented in the framework.

scholarly journals Optical Monitoring of the Production Quality of Si-Nanoribbon Chips Intended for the Detection of ASD-Associated Oligonucleotides

Micromachines ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 147
Author(s):  
Kristina A. Malsagova ◽  
Tatyana O. Pleshakova ◽  
Vladimir P. Popov ◽  
Igor N. Kupriyanov ◽  
Rafael A. Galiullin ◽  
...  
Keyword(s):  
Production Quality ◽  
Autism Spectrum ◽  
Covalent Immobilization ◽  
Biological Macromolecules ◽  
Label Free ◽  
Raman Scattering Spectroscopy ◽  
Dna Oligonucleotides ◽  
Highly Sensitive ◽  
Highly Sensitive Detection

Gas-phase etching and optical lithography were employed for the fabrication of a silicon nanoribbon chip (Si-NR chip). The quality of the so-fabricated silicon nanoribbons (Si-NRs) was monitored by optical Raman scattering spectroscopy. It was demonstrated that the structures of the Si-NRs were virtually defect-free, meaning they could be used for highly sensitive detection of biological macromolecules. The Si-NR chips were then used for the highly sensitive nanoelectronics detection of DNA oligonucleotides (oDNAs), which represent synthetic analogs of 106a-5p microRNA (miR-106a-5p), associated with the development of autism spectrum disorders in children. The specificity of the analysis was attained by the sensitization of the Si-NR chip sur-face by covalent immobilization of oDNA probes, whose nucleotide sequence was complementary to the known sequence of miR-106a-5p. The use of the Si-NR chip was demonstrated to al-low for the rapid label-free real-time detection of oDNA at ultra-low (~10−17 M) concentrations.

scholarly journals Cold stress in the harvest period: effects on tobacco leaf quality and curing characteristics

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yan Li ◽  
Ke Ren ◽  
Mengyang Hu ◽  
Xian He ◽  
Kaiyuan Gu ◽  
...  
Keyword(s):  
Cold Stress ◽  
High Altitude ◽  
Weather Forecast ◽  
Production Quality ◽  
Chemical Components ◽  
Leaf Quality ◽  
Tobacco Leaves ◽  
Tobacco Leaf ◽  
Antioxidant Enzyme System

Abstract Background Weather change in high-altitude areas subjects mature tobacco (Nicotiana tabacum L.) to cold stress, which damages tobacco leaf yield and quality. A brupt diurnal temperature differences (the daily temperature dropping more than 20 °C) along with rainfall in tobacco-growing areas at an altitude above 2450 m, caused cold stress to field-grown tobacco. Results After the flue-cured tobacco suffered cold stress in the field, the surface color of tobacco leaves changed and obvious large browning areas were appeared, and the curing availability was extremely poor. Further research found the quality of fresh tobacco leaves, the content of key chemical components, and the production quality were greatly reduced by cold stress. We hypothesize that cold stress in high altitude environments destroyed the antioxidant enzyme system of mature flue-cured tobacco. Therefore, the quality of fresh tobacco leaves, the content of key chemical components, and the production quality were greatly reduced by cold stress. Conclusion This study confirmed that cold stress in high-altitude tobacco areas was the main reason for the browning of tobacco leaves during the tobacco curing process. This adverse environment seriously damaged the quality of tobacco leaves, but can be mitigated by pay attention to the weather forecast and pick tobacco leaves in advance.

Genetic programming model for forecast of short and noisy data

2007 ◽  
Vol 21 (2) ◽  
pp. 266-272 ◽  
Author(s):  
C. Sivapragasam ◽  
P. Vincent ◽  
G. Vasudevan
Keyword(s):  
Genetic Programming ◽  
Programming Model ◽  
Noisy Data

Experimental study of mild steel cutting process by using the plasma arc method

2021 ◽  
Vol 108 (2) ◽  
pp. 75-85
Author(s):  
H.M. Magid
Keyword(s):  
Industrial Process ◽  
Scanning Speed ◽  
Cutting Parameters ◽  
Operating Conditions ◽  
Kerf Width ◽  
Cutting Process ◽  
Plasma Cutting ◽  
Plasma Arc ◽  
Cutting Equipment

Purpose: In this study, plasma arc cutting (PAC) is an industrial process widely used for cutting various away types of metals in several operating conditions. Design/methodology/approach: It is carried out a systematic or an authoritative inquiry to discover and examine the fact, the plasma cutting process is to establish the accuracy and the quality of the cut in this current paper assessed a good away to better the cutting process. Findings: It found that the effect of parameters on the cutting quality than on the results performed to accomplish by statistical analysis. Research limitations/implications: The objective of the present work paper is to achieve cutting parameters, thus the quality of the cutting process depends upon the plasma gas pressure, scanning speed, cutting power, and cutting height. Practical implications: The product of the plasma cutting process experimentally has been the quality of the cutting equipment that was installed to monitor kerf width quality by exam the edge roughness, kerf width, and the size of the heat-affected zone (HAZ). Originality/value: The results reveal that were technically possessed of including all the relevant characteristics, then a quality control for the cutting and describe the consequence of the process parameters.

A new genetic programming model for predicting settlement of shallow foundations

2007 ◽  
Vol 44 (12) ◽  
pp. 1462-1473 ◽  
Author(s):  
Mohammad Rezania ◽  
Akbar A. Javadi
Keyword(s):  
Genetic Programming ◽  
Programming Model ◽  
Standard Penetration Test ◽  
Shallow Foundations ◽  
Penetration Test ◽  
Case Histories ◽  
Contributing Factors ◽  
Artificial Neural Network Ann ◽  
Gp Model ◽  
Very High

In this paper, a new genetic programming (GP) approach for predicting settlement of shallow foundations is presented. The GP model is developed and verified using a large database of standard penetration test (SPT) based case histories that involve measured settlements of shallow foundations. The results of the developed GP model are compared with those of a number of commonly used traditional methods and artificial neural network (ANN) based models. It is shown that the GP model is able to learn, with a very high accuracy, the complex relationship between foundation settlement and its contributing factors, and render this knowledge in the form of a function. The attained function can be used to generalize the learning and apply it to predict settlement of foundations for new cases not used in the development of the model. The advantages of the proposed GP model over the conventional and ANN based models are highlighted.

scholarly journals Nitrogen doses and splitting in top dressing in the production, quality, and macronutrients content in zucchini (Cucurbita pepo) seeds

2021 ◽  
Vol 10 (10) ◽  
pp. e328101018708
Author(s):  
Ana Emília Barbosa Tavares ◽  
Natália de Brito Lima Lanna ◽  
Lidiane Fernandes Colombari ◽  
Emanuele Possas de Souza ◽  
Bruno Novaes Menezes Martins ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Seed Weight ◽  
Cucurbita Pepo ◽  
Production Quality ◽  
N Fertilization ◽  
Germination Test ◽  
Macronutrient Content ◽  
Yield Quality ◽  
The Relationship

Despite the importance of the nutrients, mainly nitrogen, in the formation and chemical composition of the seeds, little research has been done to verify the relationship between the nutrients supplied to the plants and the quality of the seeds produced. The objective of this study was to evaluate the influence of nitrogen doses and splitting on yield, quality and macronutrients content in zucchini seeds. Two experiments (crop 2014 and crop 2015) were installed, with thirteen treatments in the factorial scheme 4x3+1, with four nitrogen doses in top dressing (62.5; 125.0; 187.5; 250.0 kg ha-1), three splitting (1/6+1/3+1/2; 1/4+1/2+1/4; 1/3+1/3+1/3 of total dose in each split), and one treatment without N fertilization in top dressing (dose 0), with four replications. Seed production and quality and macronutrient content in seeds were evaluated. There wasn’t significant effect on number of fruits and seeds produced per plant. However, in crop 2014 the higher the doses of N in top dressing, the higher the seed weight per fruit and per plant, the weight of 100 seeds and the vigor (first count in germination test). In crop 2015, seeds with the best quality (germination and first counting) were obtained in the 1/4+1/2+1/4 splitting. The decreasing order of the macronutrient content in the seeds was N>P>K>Mg>S>Ca.

scholarly journals Fertilizer deposition as a function of angular velocity and inclination of the helical dosing mechanism

2022 ◽  
Vol 26 (3) ◽  
pp. 226-235
Author(s):  
Gabriel G. Zimmermann ◽  
Samir P. Jasper ◽  
Daniel Savi ◽  
Leonardo L. Kmiecik ◽  
Lauro Strapasson Neto ◽  
...  
Keyword(s):  
Angular Velocity ◽  
Process Control ◽  
Statistical Process Control ◽  
Industrial Process ◽  
Descriptive Statistics ◽  
Flow Data ◽  
Statistical Process ◽  
Flow Rates ◽  
Angular Velocities

ABSTRACT The establishment of grain crops in Brazil is an important industrial process in the agricultural chain, requiring the correct deposition of granular fertilizer over the sowing furrow and more efficient, precise, and sustainable assessments in the operation, which can be achieved with the statistical process control. This study aimed to assess the effect of the angular velocity on different inclinations of the helical metering mechanism on the granular fertilizer deposition. An automated electronic bench was used to assess the deposition quality of granular fertilizers considering different angular velocities (1.11, 1.94, and 2.77 m s-1) and longitudinal and transverse inclinations (+15, +7.5, 0, −7.5, and −15°), with the helical doser by overflow. Flow data were collected and submitted to descriptive statistics and statistical process control. The metering mechanism showed expected variations, with acceptable performance under process control. The values of the flow rates of the granular fertilizer increased as velocity increased, standing out longitudinal inclinations of +7.5 and +15°, providing higher fertilizer depositions.

scholarly journals Construction of Multi-point Quality Analysis Model of Tobacco Industry Co-production Based on Integrated “Platform + Module”

2021 ◽  
Vol 235 ◽  
pp. 03031
Author(s):  
Huali Zheng
Keyword(s):  
Quality Management ◽  
Product Quality ◽  
Production Management ◽  
Production Quality ◽  
Quality Analysis ◽  
Analysis Model ◽  
Cooperative Production ◽  
Implementation Effect ◽  
Specific Implementation

Under the multi-point production management mode, Researchers establish a unified cooperative production multi-point product quality analysis standard, set benchmarks, compare performance, create a process quality management atmosphere of ratio, learning, catching up and exceeding, so that multi-point quality management ability can be obtained together to improve, product quality has been continuously improved. At present, the quality analysis of multi-point processed products in cooperative production is only a simple average and standard deviation detection and comparison of key processes and individual indicators, or a single analysis of the appearance quality of cigarettes. The analysis is relatively isolated and no in-depth research is conducted. It is impossible to comprehensively and comprehensively compare the processing quality levels of various processing enterprises. In response to these problems, this paper compares and analyzes several quality controlling schemes, selects the “platform + module” scheme and designs and constructs it. The article discusses the specific implementation measures of the design plan. From the perspective of the implementation effect of the plan, it can provide guarantee for improving the production quality of cigarettes.

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