Archive of

Advanced Engineering Science

Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-23-11-2022-430

Abstract : This paper discusses the virtual synchronous machine-based control of a solar photovoltaic inverter for reactive power compensation. The concept of PV-STATCOM has been proposed earlier in the literature for dynamic reactive power compensation. A PV-STATCOM provides Var support within the grid without investing in an additional dedicated inverter for reactive power compensation. The paper proposes a novel control technique for the PV-STATCOM using power swing equation-based virtual synchronous machine (VSM) control. A PLL-based DSTATCOM control is badly affected by the grid disturbances since it is basically a voltage control oscillator that depends on the instantaneous value of grid voltage. But in a VSM-based control, the reference angle is generated by a power balance-based swing equation which doesn’t depend on the grid parameters. This enhances the stability and bandwidth of the controller. The fine-tuning of the control parameter is done by modified krill herd optimization. The PV-STATCOM is modeled in the MATLAB/Simulink platform and is connected to a single-machine infinite bus system to study the transient behavior. The performance of the PV-STATCOM with VSM control was found to have a response time of 1-2 cycles during sag-swell and fault conditions..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-22-11-2022-424

Abstract : The effect of various conditions of reinforced and non-reinforced AZ91 alloy on damping performance was investigated in this study. Stir casting was used to synthesize SiC and graphite particles reinforced AZ91 matrix hybrid composites with particle sizes of 25 µm. Each reinforcement quantity was modulated from 0 to 3 weight percent in increments of 1 weight percent. Then heat treatment was carried out on the hybrid composite samples (solutionized and age hardened). The heat treatment condition, weight percent of SiC and graphite particles and temperature were considered as input parameters for determining the optimum damping capacity. The experiments were conducted as per L16 Orthogonal array mixed-level approach. The test outcomes showed that the parameters have a substantial impact on the damping capacity of the composites. The damping tests on cantilever samples were performed with a Dynamic-Mechanical-Analyzer taking temperature levels in between 50-350°C. It was revealed that the optimal damping performance occurred for the heat-treated hybrid composites with increased temperature and reinforcement..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-21-11-2022-423

Abstract : Companies in various industries have the desire to achieve excellence and are committed to producing quality products. The companies improve quality by adopting competitive strategies. One strategy implemented by the companies in improving product quality is to use the Six Sigma approach. This study explores related approaches for quality improvement and analyzes the impacts of the application of Six Sigma methods in various industries from articles between 2015 and 2020 from renowned journals. Selection criteria were established and used to select potential papers. 83 articles were selected based on certain predefined criteria. The major findings from this study were that around 37% of the papers showed defect reduction using various tools, compared with other factors such as processes and people. This research found that the application of Six Sigma across industries based on literature studies shows a greater impact on efficiency improvement and the smallest impact on sigma improvement..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-17-11-2022-420

Abstract : Quality of osmotically dehydrated pineapples is very important to consumers. A reliable non-destructive method for assessing quality of osmotically dehydrated pineapples is required for factories in order to ensure the quality of products be-fore sending to consumers. Near infrared hyperspectral imaging (NIR-HSI) has the potential to be used for this purpose and was therefore tested for predicting qualities including hardness, total soluble solids (TSS), sulfur dioxide content (SO2) and moisture content (MC) of osmotically dehydrated pineapples. Spectra of samples were acquired in the range of 935-1720 nm and were used for estab-lishing calibration models for the quality indices by partial least squares regres-sion (PLSR). The chemometrics was investigated in order to acquire the best models. The prediction of the models for hardness, TSS, SO2 and MC had a cor-relation coefficient of prediction (Rp) of 0.86, 0.80, 0.76 and 0.84 respectively and root mean squares error of prediction (RMSEP) of 0.82 N, 1.86%, 25.53 mg/kg and 0.73% respectively. These models were also applied to samples to ob-tain predictive images that showed spatial distributions of samples quality on a color-based scale. Results showed that NIR-HSI can be applied to use as a non-destructive quality prediction method in the on-line system of factories for sorting and guaranteeing the quality of osmotically dehydrated pineapples..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-14-11-2022-419

Abstract : Now a day’s millions of people use social networks like Facebook and Twitter to communicate, showing present status, achievements, and daily activities. Like two sides for a coin, here also two different paths that affect human life negatively and positively by the usage of social networks in the present world, like a genuine users some fake users spread fake contents by using fake user identities that may lead to several problems in the society like law and order problems, riots, protests, etc… to avoid these type of actions nowadays researchers focuses on spam detection techniques in twitter by which results are getting positively. Researchers employed spam-detection methods that relied on phoney users, spam-based URLs, spamming of popular topics, and fake material. All these techniques work based on features available on social networks like user information, content sharing, graphical data, time and structural data. Present literature work in this paper gives deep information about different techniques used by researchers to detect spam contents in various social networks that may be useful for researchers to have information gathered in a spot..
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