Single-point incremental forming (SPIF) enables the forming of fix-clamped sheet metal by moving a relatively small geometrically simple tool along the trajectory, producing the desired shape of the ...final product. Excessive thinning of the sheet results in fracture, determining the limit of formability. This characteristic of the forming process can be improved by upgrading the basic SPIF process to two-step forming, whereby a more even distribution of the sheet thickness can be achieved by pre-bulging with a hemispherical punch. This study focused on analysing the SPIF process and a hybrid two-step forming consisting of sequential bulging and SPIF. The analysis focused on the output parameters of sheet metal thinning and maximum forming force components and was conducted with Abaqus simulation software. An innovative new approach for influence analysis of technological, material and geometrical input parameters and correlation analysis between the mentioned parameters was performed using the random forest (RF) method, which allows the determination of individual parameter influence by analysing tree-shaped models obtained through the training process. The analysis results show a significant influence of the workpiece wall angle and part depth on thinning and initial sheet thickness on values of the forming force components. The results also show a great correlation between the parameters of the bulging depth and the part depth after SPIF and the significant influence of the appropriate choice of the backing plate geometry for the target product geometry.
•Analysis of parameters of SPIF and hybrid two-step forming system.•Focusing on important technological, material, and geometrical parameters.•Forming force and sheet metal thinning predicted by finite element method.•Parameter influence and correlation analysis using random forest method.•Innovative evaluation of parameters on thinning and maximum force.
Artificial Intelligence (AI) technology is spearheading a new industrial revolution, which provides ample opportunities for the transformational development of traditional fermentation processes. ...During plasmid fermentation, traditional subjective process control leads to highly unstable plasmid yields. In this study, a multi‐parameter correlation analysis was first performed to discover a dynamic metabolic balance among the oxygen uptake rate, temperature, and plasmid yield, whilst revealing the heating rate and timing as the most important optimization factor for balanced cell growth and plasmid production. Then, based on the acquired on‐line parameters as well as outputs of kinetic models constructed for describing process dynamics of biomass concentration, plasmid yield, and substrate concentration, a machine learning (ML) model with Random Forest (RF) as the best machine learning algorithm was established to predict the optimal heating strategy. Finally, the highest plasmid yield and specific productivity of 1167.74 mg L−1 and 8.87 mg L−1/OD600 were achieved with the optimal heating strategy predicted by the RF model in the 50 L bioreactor, respectively, which was 71% and 21% higher than those obtained in the control cultures where a traditional one‐step temperature upshift strategy was applied. In addition, this study transformed empirical fermentation process optimization into a more efficient and rational self‐optimization method. The methodology employed in this study is equally applicable to predict the regulation of process dynamics for other products, thereby facilitating the potential for furthering the intelligent automation of fermentation processes.
Graphical and Lay Summary
A real‐time iterative machine learning (ML) model was developed to optimize the process control strategy for improving plasmid production in Escherichia coli fed‐batch fermentations. The optimized process control strategy was then successfully validated to prove the predictability of the established ML model.
Yüksek performans ve çalışma verimliliği
ile geleneksek yaylara göre tercih edilebilen işleme helisel yayların yay
sabitinin belirlenmesi için bir yapay sinir ağı (YSA) geliştirme yöntemi
...sunulmuştur. YSA eğitimi için ilk olarak çeşitli boyutsal parametrelerle sonlu
eleman analizleri yapılmış ve elde edilen yay sabiti değerleri tasarlanan deney
düzeneğinde gerçekleştirilen testlerle doğrulanmıştır. Doğrulanan sonlu eleman
sonuçları ile parametrik korelasyon analizli yapılmış ve her yay boyutsal
parametresinin yay sabiti üzerindeki etkisi belirlenmiştir. YSA eğitimi için
gerekli parametreler ve sayıları bu korelasyon sonucuyla belirlenmiştir.
Geliştirilen YSA ile elde edilen yay sabiti sonuçları, deneylerle doğrulanan
sonlu eleman sonuçlarıyla kıyaslanmış ve YSA’nın yay sabitinin belirlenmesinde oldukça
başarılı olduğu belirlenmiştir. YSA geliştirilmesinde parametrik korelasyon
analizinin yapılmasının önemi ortaya çıkarılmıştır.
The advances of industrial biotechnology highly depend on the development of industrial bioprocess researches. In China, we are facing several challenges because of a huge national industrial ...fermentation capacity. The industrial bioprocess development experienced several main stages. This work mainly reviews the development of the industrial bioprocess in China during the past 30 or 40 years: including the early stage kinetics model study derived from classical chemical engineering, researching method based on control theory, multiple-parameter analysis techniques of on-line measuring instruments and techniques, and multi-scale analysis theory, and also solid state fermentation techniques and fermenters. In addition, the cutting edge of bioprocess engineering was also addressed.
Glaucoma is one of the most insidious eye diseases the occurrence and progression of which a human does not feel. This article provides a brief overview of the eye nerve parameterization methods and ...algorithms. Parameterization itself is an important task that provides and uniquely defines the structure of the optic nerve disc and further can be used in disease detection or other studies that require a parametric estimate of the eye fundus pattern. So far, planimetric completely automated parameterization of excavation from eye fundus images has not been investigated in detail in the scientific literature. In this article, the authors describe an automated excavation and parameterization algorithm and make the correlation analysis of parameters obtained by both automated and interactive techniques. The obtained results are then compared with those produced by Optical Coherence and Heidelberg Retina Tomography. Finally, the article discusses glaucoma disease detection abilities using the estimated parameters of the eye fundus structures, obtained by different parameterization techniques.
In order to improve the effectiveness of Fuzzy Synthetic Evaluation (FSE) models, a Parameter Correlation Analysis (PCA) was introduced into the FSE and a case study was carried out in the Naoli ...River in the Sanjiang Plain, Northeast China. The basic principle of the PCA is that the pairs of parameters which are highly correlated and linear with each other would contribute the same information to an assessment and one of them should be eliminated. The method of the PCA is that a correlation relationship among candidate parameters is examined before the FSE. If there is an apparent nonlinear or curvilinear relationship between two parameters, then both will be retained; if the correlation is significant (
p
<0.01), and the scatter plot suggests a linear relationship, then one of them will be deleted. However, which one will be deleted? For solving this problem, a sensitivity test was conducted and the higher sensitivity parameters remained. The results indicate that the original data should be preprocessed through the PCA for redundancy and variability. The study shows that introducing the PCA into the FSE can simplify the FSE calculation process greatly, while the results have not been changed much.
Accurate simulation model can be efficiently to analyze the dynamics of Regional Integrated Energy System (RIES) as well as evaluate their impacts on interconnected power system. However, due to ...parameter identifiability and parameter sensitivity, traditional parameter identification methods of RIES may not accurate enough. To solve the problem, General Parameter Identifiability (GPI) which is consist of parameter correlation and parameter sensitivity is proposed. Trajectory sensitivity is used in parameter correlation analysis; furthermore, instead of traditional sensitivity analysis based on derivatives such as trajectory sensitivity in time-domain, elasticity corrected trajectory sensitivity and power spectrum sensitivity are proposed to analysis parameter sensitivity in time-frequency domain. Also, the evaluation method of GPI is presented. Parameter identifications in an actual RIES verify the accuracy of proposed method.
The absence of standard in black tea assessment was one main obstacle in its quality assurance. This research were contains process of black tea assessment software development, software problem ...solving concept, and the software evaluation made. This paper was a proof of simple concept that an expert system should automatically find and chose relevant parameters from relationship between raw image data and custom customer classification system, not only measuring dictated parameter and calculate the result on it.
In recent years, interest in cultivating Ginkgo biloba L. as a medicinal plant has grown in Ukraine, and improvement of the technology of growing this plant in the conditions of the North-East of ...Ukraine is a relevant problem. The purpose of this article to present research on the morphological structure, growth and viability of young G. biloba plants in grown from seeds by different technologies and comparative analysis of growth and development of G. biloba plants under greenhouse conditions and on open soil. The experiment on G. biloba cultivation was initiated in 2014 in three variants (the plants were grown from the seeds). Variant No 1: G. biloba growing in a greenhouse at 60–80% humidity and temperatures not below +27 ºС; shading (shading level 60%) by green agronetting. Variant No 2: growing in open soil; shading (shading level 60%) by green agronetting; the climatic conditions were typical for Sumy region. Variant No 3: growing in open soil; there was no shading; climatic conditions were typical for the Sumy region. Plant analysis was conducted in June 2018. The following morphometric parameters of G. biloba plants were measured: plant height, annual growth of shoots, number of leaves, leaf size and leaf area, phytomass of the shoots, phytomass of leaves and phytomass of the stem, diameter of the shoots. The sampling used 60 samples. The leaf area was determined by the method of drawing contours on millimeter paper. Statistical processing of research results was carried out by generally accepted modern methods of mathematical statistics using dispersion, correlation, regression and vital analysis. In the conditions of the Ukrainian North East, G. biloba seedlings can be grown successfully in greenhouses and open soil, both with 60% shade by agronetting and without it. Differences between the plants grown in such conditions are insignificant and statistically unreliable. The obtained three to four year old G. biloba seedlings grown using different technologies were 25–30 cm in height and formed 13–17 leaves per plant. The seedlings were of quite high viability (Q is 0.22–0.30) and morphostructural integrity (67.8%). The output of viable seedlings (vital classes “a” and “b”) in variant 1 was 60%, variant 2 45% and variant 3 60%. Ecological-cenotic stability of G. biloba was observed repeatedly, though certain limitations on G. biloba cultivation may be that the plant is photophilic and thermophilic. But the conducted experiments show that the climatic conditions of the Ukrainian North-East are quite favourable for this species. Based on the data obtained for the Ukrainian North-East, it is possible to recommend the technology of growing G. biloba seedlings in open soil without agronetting as quite effective and low-cost.
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