Minitab Software Version Research Articles

Supervised Machine Learning to Predict Drilling Temperature of Bone

Surgeons face a significant challenge due to the heat generated during drilling, as excessive temperatures at the bone–tool interface can lead to irreversible damage to the regenerative soft tissue and result in thermal osteonecrosis. While previous studies have explored the use of machine learning to predict the temperature rise during bone drilling, this in vitro study introduces a comprehensive approach by combining the Response Surface Methodology (RSM) with advanced machine learning techniques. The main objective lies in the comprehensive evaluation and comparison of support vector machine (SVM) and random forest (RF) models specifically for the optimization of the bone drilling parameters to prevent thermal bone necrosis. A total of 27 experiments were conducted using a multi-level factorial method, with analysis performed via the Minitab software version 19.1. Performance metrics such as the mean squared error (MSE), mean absolute percentage error (MAPE), and coefficient of determination (R2) were used to assess model accuracy. The RF model emerged as the most effective, with R2 values of 94.2% for testing and 97.3% for training data, significantly outperforming other models in predicting temperature fluctuations. This study demonstrates the superior predictive capabilities of the RF model and offers a robust framework for the optimization of surgical procedures to mitigate the risk of thermal damage.

Phytochemical Evaluation and Comparative Study of Marketed Ajwain Ark Formulations

Background: A study has been conducted on ajwain (Trachyspermum ammi), a herb with therapeutic properties. Two formulations, SATVYK ark (made with water) and PURNDHENU ark (using cow urine as a solvent), have been compared. Objectives: The research includes evaluating the macroscopic and microscopic characteristics of ajwain seeds; Hence, this article involves the phytochemical evaluation of Ajwain seeds and other qualitative evaluation aspects such as TLC of two different marketed ajwain ark formulations. Methods: TLC was obtained using Toluene: Ethyl acetate (9.3:0.7, v/v/v) as mobile phase and Silica gel plates as stationary phase. Based on these there is a comparative study of these two marketed ark formulations with MINITAB software version 19. Result: Macroscopic evaluation, microscopic evaluation and powder characteristics of seeds of Trachyspermum ammi (L.) Sprague were performed and Physico-chemical parameters of two different marketed ark formulations were also evaluated. Using various chemical tests Preliminary phytochemical analysis has been carried out. Conclusion: The method suggests both formulations are viable, leaving the choice dependent on factors like patient preferences and therapeutic goals.

Black sapote (Diospyros digyna) as an underutilized ingredient in the preparation of vegan breads for school children in Puebla, Mexico

The black sapote (Diospyros digyna) is a Mexican endemic fruit cultivated in several states of the country, however, despite its production, it is wasted in different locations specifically in the state of Puebla, including Rafael Lara Grajales municipality. The objective of this article was to identify three different samples of vegan breads for the use of this fruit, to evaluate their acceptability in school children (6-12 years old) living in that location. This was achieved through sensory evaluation with a 5-point hedonic scale. The inclusion of an underutilized ingredient, such as black sapote, in their diet expands the variety of foods available to them. This article is based on a mixed, experimental, cross-sectional methodology with an exploratory and descriptive scope, using a documentary and field technique. The ANOVA statistical test and the Tukey test were carried out to evaluate the attributes of each bread evaluated, using the Minitab software version 18. The results showed that there was no significant difference p < 0.05 between the three samples, that is, all were sensorially accepted by the untrained panelist school children of Valentín Gómez Farías elementary school in the municipality of Rafael Lara Grajales, Puebla. The attributes of taste, aroma, color, shape and texture did not show significant differences in bread preference, despite the presence of sapote, which is not commonly consumed in the region. The texture, shape and taste were the most liked aspects of the hojaldra (traditional bread for the day of the dead in Mexico), while aroma and color were the least favored. The students favored the color, aroma, and taste of the conchas (fluffy bread with butter topping), but did not prefer their texture and shape. Similarly, the rolls were preferred for their aroma and shape, but were not the top choices in terms of taste, texture, and color. The aroma and taste were the variables with a positive correlation in the evaluated breads. Texture and taste had a low 3.9% positive correlation, and texture and color had a 4.1% correlation across all three samples. An interval graph was also made to determine the most acceptable elements of the breads evaluated, as well as, a multiple correlation to determine the sensorial characteristics with the highest correlation. The most popular bread was the concha. Key words: black sapote, bread, veganism, sensorial evaluation, sensory evaluation

Response surface method approach for analysing flow characteristics in an expanding channel

Analysis of flow in an abruptly expanding channel for five characteristics namely sequent depth ratio Y2/Y1, efficiency E2/E1, relative height of jump hj/E1, relative length of jump Lj/Y1 and relative length of roller Lr/Y1 were studied experimentally and using response surface method (RSM) technique. Physical explanations of these characteristics against Froude number were also discussed based on experiments. Dimensional analysis has also been followed for different fluid properties and geometric dimensions of the set up for reducing number of complexity involved in hydraulic jump phenomenon. Obtained results are well presented as regression models for all flow characteristics. Furthermore, RSM is applied to determine most significant parameter influencing jump characteristics and to identify any unusual behaviour of flow parameters. The central composite rotatable design was employed to generate the experimental runs using Minitab software version 21. These developed models are characterised as highly accurate as prediction efficiency of RSM model is deemed highly effective for sequent depth, relative height, efficiency, relative length of roller and relative length of jump as reflected in the Nash–Sutcliffe efficiency values within the 0.9 NSE range.

Performance Evaluation of a Drip Irrigation System inside the Automated Greenhouse in Huye Ecological Condition

This research, titled Performance Evaluation of a Drip Irrigation System inside the Automated Greenhouse in Huye ecological Condition, was carried out in the Research Center of Integrated Polytechnic Regional College (IPRC)-Huye Campus, which is located in the Ngoma Sector of Huye District of Rwanda, in 2023. The study has mentioned the specific objectives of determining the average emitter discharge of the irrigation system, evaluating Christiansen Coefficient Uniformity (CU), and evaluating the distribution uniformity (DU) of the system. The research design was a randomized complete block design with four replications. The experiment was conducted on 24 laterals and 288 drippers installed in the greenhouse. Each lateral had an equal distance of 36.5m and carried 94 total drippers. Data analysis of variance (ANOVA) and LSD for means were used as statistical tools in MINITAB software version 17. The confidence interval was 95%. The obtained results indicated an average discharge (q) of 3.98 L/h in the drip irrigation system, coefficient uniformity (CU) of 99.96%, and distribution uniformity (DU) of 57.72%. The research concludes that the performance of irrigation systems is excellent for water application. However, the way water is distributed in all systems is poor. In addition, the drip irrigation system may reach an adequate level of performance when it works in a shifty manner.

Perceived value in food retail: moderating effect of store format

Objective - This paper’s purpose is to measure the value perceived by food retail consumers under the moderating effect of the store format. Methodology: An online survey was administered to 493 food retail consumers. For the data analysis it was used the quantitative technique of Structural Equation Modelling (SEM). The analyses were performed with the aid of Minitab software version 12.1 and SmartPLS version 3. Results: The highest explanation degree of the perceived value for the Super / Hypermarkets format was the variables Products and Store Environment, as was the case for Wholesale self-service format. However, it should be noted that the Wholesale self-service format had the lowest structural coefficients for all paths of the model, indicating that the factors have less explanatory power on the perceived value of the consumer compared to the Super/Hypermarkets format. A notable difference between formats was noticed in the factor a Additional services variable, showing its vocation aimed at lower costs. Theoretical/methodological contributions: The investigation developed a quantitative model that demonstrates the adequacy of the model's component variables and that they vary according to the store format. The model developed can also be used as a basis for future research in other countries on food retail and other variations of retail. Relevance/Originality: This study is the first to investigate and measure the value perceived by food retail consumers, also taking into account the store format.

Optimization of CI Engine Performance and Emissions Using Alcohol–Biodiesel Blends: A Regression Analysis Approach

This research paper investigates the optimum engine operating parameters, namely engine load, palm biodiesel, and ethanol percentage, by using a regression analysis approach. The study was conducted on a single-cylinder, four-stroke diesel engine at varying engine loads and constant speed. A general full factorial design was established using Minitab software (Version 17) for three different input factors with their varying levels. The test results based on the regression model are used to optimize the engine load and percentages of palm biodiesel and ethanol in diesel–biodiesel–ethanol ternary blends. The analysis of variance (ANOVA) revealed a significant effect on performance and emission parameters for all three factors at a 95% confidence level. From the regression study, optimum brake thermal efficiency (BTE), nitrogen oxide (NOx), carbon monoxide (CO), and unburnt hydrocarbon (UHC) emissions were found to be 12.57%, 436.2 ppm, 0.03 vol.%, and 79.2 ppm, respectively, at 43.43% engine load, 11.06% palm biodiesel, and 5% ethanol share. The findings of this study can be used to optimize engine performance and emission characteristics. The regression analysis approach presented in this study can be used as a tool for future research on optimizing engine performance and emission parameters.

Geometrical Characterisation of TiO2-rGO Field-Effect Transistor as a Platform for Biosensing Applications.

The performance of the graphene-based field-effect transistor (FET) as a biosensor is based on the output drain current (Id). In this work, the signal-to-noise ratio (SNR) was investigated to obtain a high-performance device that produces a higher Id value. Using the finite element method, a novel top-gate FET was developed in a three-dimensional (3D) simulation model with the titanium dioxide-reduced graphene oxide (TiO2-rGO) nanocomposite as the transducer material, which acts as a platform for biosensing application. Using the Taguchi mixed-level method in Minitab software (Version 16.1.1), eighteen 3D models were designed based on an orthogonal array L18 (6134), with five factors, and three and six levels. The parameters considered were the channel length, electrode length, electrode width, electrode thickness and electrode type. The device was fabricated using the conventional photolithography patterning technique and the metal lift-off method. The material was synthesised using the modified sol-gel method and spin-coated on top of the device. According to the results of the ANOVA, the channel length contributed the most, with 63.11%, indicating that it was the most significant factor in producing a higher Id value. The optimum condition for the highest Id value was at a channel length of 3 µm and an electrode size of 3 µm × 20 µm, with a thickness of 50 nm for the Ag electrode. The electrical measurement in both the simulation and experiment under optimal conditions showed a similar trend, and the difference between the curves was calculated to be 28.7%. Raman analyses were performed to validate the quality of TiO2-rGO.

Enhancement of light Naphtha quality using calcite adsorbent from eggshells by adsorptive desulfurization

The presence of sulfur in transportation fuels has bad consequences for health and the environment, and there are many techniques used for removing or eliminating sulfur content, especially hydrodesulfurization. Hydrodesulfurization is the classical technique for desulfurization, but it is characterized by working at elevated temperatures and pressures as well as high costs. For this, there are many alternative methods, such as adsorptive, oxidative, extractive, and so on. The adsorptive desulfurization (ADS) is one of the most promising methods for sulfur reduction because of its ability to work under ambient conditions and ADS can significantly enhance the quality of light naphtha by reducing its sulfur content and improving its suitability for downstream processes such as catalyst poisoning and corrosion. The calcite prepared from eggshell was investigated here as an adsorbent for sulfur compounds from light naphtha. The adsorbent was characterized by X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FTIR). The investigation of adsorbent activity was done by batch adsorption, and the chosen studied variables are temperature, adsorbent dosage, and contact time with ranges of 20–40 C°, 1–3 g, and 15–45 min, respectively, which were designed according to the Box–Behnken experimental design and the experiment results were analyzed using Minitab software version 17. The results show that the sulfur-removing efficacy ranged between 45 and 60%, while optimum sulfur removal efficiency is 61% at the following operation conditions: 40 °C, 3 g, and 45 min for temperature, adsorbent dosage, and adsorption time respectively.Adsorption isotherms Langmuir and Freundlich were examined, and the results show the Freundlich isotherm is more suitable to describe the adsorption of these sulfur compounds.

Optimization of stir casting process parameters in the fabrication of aluminium based metal matrix composites

As the need for lightweight constructions rises in everyday life, metal matrix composites (MMCs) made of aluminum are used in a range of fields, including sports equipment, automotive, aerospace, and defense. The stir casting technique is the most commonly used commercially in industries to fabricate aluminum-based metal matrix composites because that is the most straightforward and economical strategy. The responsiveness of the process parameters was optimized using the statistical and mathematical technique known as response surface methodology (RSM) in the production of aluminum metal matrix composites reinforced with TiB2. The process parameters like reinforcement (1.5%, 3.0% and 4.5%), melt temperature (750 °C, 775 °C and 800 °C) and stirring speed (500 rpm, 600 rpm and 700 rpm) were considered for optimization. The obtained data were analyzed using three level factorial designs in Minitab software version 19. The developed model was evaluated using analysis of variance (ANOVA). The mechanical properties and microstructure of the specimens were investigated. ASTM standards were used to test the mechanical characterization, which included Vickers micro hardness and tensile strength. The results showed that the composite had improved tensile strength and micro hardness (29% increase). Microstructure studies revealed the presence of black Mg2Si particles as well as Al-Mg-Si eutectic in an alpha aluminum matrix, as well as fine and small TiB2 particulates.

Effects of threshing and storage conditions on post-harvest insect infestation and physical characteristics of maize grain

Maize is the most significant cereal crop in Ethiopia in terms of production, and it is essential in terms of food security. However, ineffective threshing and storage of maize grain had a substantial impact on its physical attributes and loss. This study aimed to investigate the impact of threshing, and storage conditions on the physical properties and insect infestation of maize grain during storage. For this, a freshly harvested maize grain of BH-540 variety was used. Maize was threshed at two moisture content levels (17, and 23%) using two threshing methods (hand & mechanical). After threshing, the grains were dried to safe moisture content (13%) for storage using a solar bubble dryer and stored in five different bags (Purdue Improved Crop Storage bag, GrainPro, ZeroFly, woven polypropylene bag with plastic liner, and woven polypropylene bag) at a room temperature for 6-months. Each post-harvest loss indicator parameter and the physical properties of the grain were measured over 6-months. Minitab software (version 19.2) was used to analyze the data. During threshing, the highest broken kernel was observed on maize grain threshed mechanically at 23% moisture content (44.00). The threshing and storage conditions showed a significant effect (p < 0.05) on all post-harvest loss indicator parameters. The maximum total number of adult live weevils (227.67 adult/kg) were observed for maize threshed mechanically at 23% moisture and stored in a woven polypropylene bag for 6-months. Similarly, maize threshed mechanically at 23% moisture and stored in a woven polypropylene bag had the highest weight loss percentage (5.45%), and grain damage (20.06%) after six months of storage. No loss was observed in both threshing conditions stored in hermetic bags and all physical properties of maize have remained good during the six months of storage. Generally, to reduce the high percentage of postharvest loss of grains, grains should be threshed and dried immediately using appropriate artificial dryers, and stored in hermetic storage structures.

PROCESS CAPABILITY ANALYSIS OF KATSUOBUSHI PRODUCTION AT PT. ABC

Process capability in processing fishery products is a future challenge for the fishing industry, one of which is katsuobushi. The capability process refers to how a company can produce according to specifications to make it effective and efficient. The absence of process capability in the company is the basis for stating an effective and efficient process. The proposed study is to determine the company's current condition and provide suggestions for process improvement and evaluation. Through assumptions, this study influences the results of Cp and Cpk, which are calculated by Minitab software version 21st as a method for measuring performance by identifying broad process tolerance production. In this study, the results for each data generated met data accuracy and standards. Still, at smoking 3rd and 4th stages, it was necessary to review specification values because of the value of Cpk &lt; 1.00. As a result, after improving the standard by the six sigma concept, Cpk values are obtained &gt; 1.00.

Time series analysis of cutaneous leishmaniasis incidence in Shahroud based on ARIMA model

BackgroundLeishmaniasis is a zoonotic disease and Iran is one of the ten countries with has the highest estimated cases of leishmaniasis. This study aimed to determine the time trend of cutaneous leishmaniasis (CL) incidence using the ARIMA model in Shahroud County, Semnan, Iran.MethodsIn this study, 725 patients with leishmaniasis were selected in the Health Centers of Shahroud during 2009–2020. Demographic characteristics including; history of traveling, history of leishmaniasis, co-morbidity of other family members, history of treatment, underlying disease, and diagnostic measures were collected using the patients’ information listed in the Health Ministry portal. The Box-Jenkins approach was applied to fit the SARIMA model for CL incidence from 2009 to 2020. All statistical analyses were done by using Minitab software version 14.ResultsThe mean age of patients was 28.2 ± 21.3 years. The highest and lowest annual incidence of leishmaniasis were in 2018 and 2017, respectively. The average ten-year incidence was 132 per 100,000 population. The highest and lowest incidence of the disease were 592 and 195 for 100,000 population in the years 2011 and 2017, respectively. The best model was SARIMA (3,1,1) (0,1,2)4 (AIC: 324.3, BIC: 317.7 and RMSE: 0.167).ConclusionsThis study suggested that time series models would be useful tools for predicting cutaneous leishmaniasis incidence trends; therefore, the SARIMA model could be used in planning public health programs. It will predict the course of the disease in the coming years and run the solutions to reduce the cases of the disease.

Optimalisasi Respons Surface Terhadap Profil Asam Tempe Lotus (Nelumbo nucifera) Rawa Perikanan

This study aimed to determine the best using of combination processes in the manufacture of lotus tempeh and determine the dominant acid profile in lotus seeds tempeh. This study was conducted with 2 stages of research design, the first stage was optimization of the best process in the manufacture of fermented lotus (lotus tempeh) using the Response Surface Methodology (RSM) box Behnken with data analysis by Minitab software version 19. In the second stage, the optimal data of the first stage analyzed by descriptive analysis of acid profile and alcohol content. Based on the measurement of acid content in lotus seed tempeh ranged from 4.33-20.5% for the best combination treatments (0.5 g starter, 24 h soaking time, and 36 h fermentation time), and the alcohol content in optimal tempeh obtained from 4.74% to 5.06%. The optimal lotus tempeh has 46 compounds in acid profile as tempeh flavour, wherein cyclobutanol and ethanol as the dominant compound in the acid profile.

Performance and emission characteristics of diesel engine fuelled with cashew nut shell oil & optimizing the operating parameters using response surface methodology

Due to the stringent environmental changes and rosein pollution from automobiles and other industrial sources make researchers to find an alternative fuel for diesel substitute based engines. In this paper, direct injection CI engine characteristics is studied using cashew nut shell oil as a biodiesel. The work carried out in two parts, the first part consist of experimental work studies on 4 stroke single cylinder CRDI engine using CNSL as a biodiesel. CNSL Biodiesel is prepared by acid-base trans-esterification technique. The prepared biodiesel is then blended with diesel by the volume basis of [B20D80]. The Diesel engine operated at constant speed of 1500 rpm for the loading condition such as 0%, 25%, 50%, 75%, and 100%. The brake thermal efficiency, brake specific fuel consumption, injection pressure, blend percentage were noted. In terms of Emissions, the CO, CO2, NOX, HC were observed for all loading conditions and compression ratios. The second part of the work is to optimize the operating parameters of the diesel engine using response surface methodology optimizer. For the optimization the input values namely engine load, compression ratio, bending ratios of diesel and biodiesel is varied accordingly to observe the output parameters like BTE, BSFC and for emissions like CO, CO2, NOx, and HC. The optimization is carried out using statistical Minitab software version 18. The predicted and experimental values were compared for the optimal values of BTE, BSFC and emissions respectively.

Phytochemical Screening and Multivariate Analysis on Physicochemical and Nutraceutical Value of Kocho from False Banana (Enset).

Enset (Ensete ventricosum) is one of Ethiopia's most important food crops. The objective of the present study is to evaluate (using multivariate analysis) the effect of fermentation time, varietal differences, and treatment with gammicho on the physicochemical and nutraceuticals of kocho obtained from false banana in highly cultivated areas such as Disa Kera and Koysha Gorta of Dawro zone, Loma Woreda, South Nations' Nationalities People Regions, Ethiopia. The analyses were carried out for fresh and fermented (with and without local starter, gammicho) enset kocho varieties (Meazia and Katania) harvested in two locations. Statistical analysis of the acquired data was performed using Minitab software version 19. It was discovered that each factor influenced significantly (p ≤ 0.05) the qualities of kocho independently and with interaction. After four months of fermentation with gammicho, various parameters such as fat (1.69 to 0.62%), fiber (11.46 to 2.79%), pH (6.50 to 3.00), and moisture were dramatically decreased (9.34 to 2.8%). On the other hand, some dietary elements in both kinds were reduced with increasing fermentation time, including ash (2.07 to 3.57%), protein (3.08 to 5.52%), and carbs (71.87 to 84.55%). The results of this study suggest that Meazia has superior physicochemical and nutritional qualities over Katania.

Morphometric Analysis of Peroneus Tertius and Extensor Digitorum Longus

Objective: The objective of this study was to analyse morphometric characteristics of the Peroneus Tertius (PT) and Extensor Digitorum Longus (EDL) muscles with important correlations and associations that may describe their functional significance.Material and Methods: The measurements PT and EDL muscles of cadavers were taken using a standard measuring tape. Minitab software Version 20.1 was used for statistical analysis methods of Spearman rho, Mood’s Median test, Fishers Exact test, and Two-sample T-test. Results: Of the 54 specimens of lower limbs, the mean length of origin of the PT from the fibula was 13.80±5.52 cm and 76% of the specimens with a separate origin of PT extended to its proximal half. The distal insertion of PT tendon was mostly as a single insertion into the base of the fifth metatarsal bone (55.55%). Spearman rho correlation value for the EDL muscle belly circumference with the number of intertendinous connections showed a mild negative correlation. Conclusions: Knowledge of morphometric characteristics and the variations of these muscles aid in clinical applications and suggest the use of radiological assessment of the muscle prior to surgical intervention.

Retrospective Study; Comparison of the Stride Pattern of Elite 400 meters Hurdlers in Sri Lanka with Elite Athletes in Asia and the World

This study aimed in identifying and comparing the stride pattern in the 400mH event of the top 10 Sri Lankan, Asian, and World levels athletes of 2019 top list. A retrospective research design was used and following a selective sampling method top 10 athletes were selected from each group as subjects (N 30). Each athlete’s 400 mH 2019 season best video was analysed. 400m event timings were recorded from World Athletics. Kinovea software version 0.8.26 and Minitab software version 19 were used for data analysis. One-way ANOVA, Tukey test and Pearson’s correlation coefficient tests were performed. It was significantly different from the 1st hurdle to the 6th hurdle in all three groups. Tukey test further revealed a significant difference in Sri Lankan athletes from the start to the 1st hurdle, and from the 6th hurdle to the 10th hurdle. Moreover, only the world-level athletes were significantly different from the 10th hurdle to the finish line. The 400m time was significantly different in all three levels. World-level athletes’ group have a moderate, and the Asian-level athlete group have a very weak correlation while the Sri Lankan athlete group have a strong correlation between 400m time and 400 mH time (r= 0.607, 0.135, 0.849) respectively. In conclusion, to improve the level of performance among Sri Lankan 400mH athletes compared with the other levels, the times taken from start to the first hurdle, between hurdles, and from last hurdle to the finish line needed to be improved while improving 400m performance.

Qualitative and Quantitative Characteristics Analysis in Texel Crossed , Dorper and Fat Tailed Sheep

The aims of present study was to evaluate the qualitative and quantitative characteristics of imported sheep such as Texel crossed and Dorper sheep, compared with local sheep (Fat Tail Sheep/FTS) in almost the same region, namely Pujon and Karangkates. This research was a field research with case study methods and research materials as many as 39 for Texel crossed sheep, 19 for Dorper sheep and 37 for FTS. The age of the sheep ranges from 1.5 to 3 years (some have their first calf). Qualitative data were analyzed by Population Genetics Analysis and quantitative data were analyzed by One-Way Design Anova using Minitab software version 13. The results showed that: (1) Qualitative traits in Texel crossed , Dorper and FTS sheep showed that some traits underwent fixation where one of the traits was fixed. One allele in Texel crossed and Dorper sheep has disappeared and no longer exist in its origin place such as horned and hornless traits, white body color and black head, erect ears, while in FTS sheep it is still polymorphic, especially in the hornless and drooping ears in FTS. The white color on the FTS seems to have been fixed, because the dominant gene frequency/ p = 1 and the recessive gene frequency/ q = 0. (2) The quantitative traits such as body weight, in which the body weights of the Texel crossed , Dorper and FTS breed were different in the study, and the Dorper sheep the highest body weights, while the body weights of Texel crossed and FTS sheep were almost the same. Dorper sheep had the highest head index, and Texel crossed sheep and FTS sheep had the same head index. It was concluded that Texel crossed and Dorper sheep had many fixed qualitative characteristics such as horns, erect and drooping ears, white body color and black head in FTS sheep were quite polymorphic in horns and erect and drooping ears. The best growth of Dorper sheep because Dorper sheep was originated from a crossing between Dorset and Black Persian sheep.

Quality optimization and process capability analysis of ring spun Supima cotton yarn

Abstract The response surface method and process capability analysis were conducted in this study to improve evenness, hairiness, imperfections, and tensile strength of ring spun Supima cotton yarn by optimizing values of spinning parameters including traveler mass, yarn density, spindle speed, and yarn twist. The yarns were spun into three densities: 20 Ne, 30 Ne, and 38 Ne. An USTER Tester 5-S800 was used to evaluate the irregularity parameters of yarn. A Lloyd tester was also used to determine the yarn breaking load. The response surface method was applied to optimize the statistical values obtained from the tests of the yarns produced based on the combination values of system parameters. Each response was subjected to a response surface design study, and the optimal values were achieved by using a response optimizer to perform multiple response optimization. Interpreting the response surface design results yielded information such as the absolute values of effects, response degree of significance, data compatibility, and model suitability. Individual desirability, composite desirability, different estimates for each response, and the relationship between response and system variables were all revealed by interpreting the response optimization results. The capability indices of process capability analysis were used to compare process performance before and after response optimization. By interpreting the capability indices’ values of process capability analysis, the capability of the process to meet requirements and improvement potential were acquired. The data was analyzed by implementing Minitab software (Version 19).