scholarly journals Effects of Controllable Blasting Variables on Number of Boulders Generated after Blasting in Ratcon and NSCE Quarries, Ibadan, Oyo State, Nigeria

2013 ◽  
Vol 2 (2) ◽  
pp. 105
Author(s):  
Abiodun Ismail LAWAL ◽  
Akande Jide Muili
Keyword(s):  
Research Work ◽  
Drill Hole ◽  
Hole Diameter ◽  
Average Charge ◽  
Specific Charge ◽  
Microsoft Excel ◽  
Hole Depth ◽  
Independent Variables ◽  
Spss Software ◽  
Input Variables

The research work examines the effects of controllable blasting variables on number of boulders generated after blasting. The objective of the research was achieved through collection of data related to blasting which are drill hole depth, drill hole diameter, burden, spacing, average charge per hole, and specific charge. The collected data were analysed statistically using both Microsoft Excel Software and SPSS Software. The result of the analysis reveals that all the input controllable blasting variables which are drill hole diameter (X1), drill hole depth (X2), hole spacing (X3), burden (X4), average charge per hole (X5), specific charge(X6) that participated as independent variables in the models are found to be significant and the R2 values obtained from the graph show a very strong correlation between the number of boulders generated after blasting and the input variables except that of drill hole diameter which shows a very weak correlation. The equation generated using the SPSS could be used to determine number of boulders generated after blasting.

IceCube CFD Drilling Model

2006 ◽  
Author(s):  
Richard A. Martin ◽  
Tim Thompson ◽  
Naseem Ansari ◽  
Chokri Guetari
Keyword(s):  
Heat Transfer ◽  
Water Temperature ◽  
Drill Hole ◽  
Hole Diameter ◽  
Spray Angle ◽  
South Pole ◽  
The South ◽  
Hole Depth ◽  
Ansys Cfx ◽  
Multi Phase

A numerical model of a hot water drill used to produce deep holes in clear ice at the South Pole for the IceCube neutrino observatory program scheduled for completion in 2010 has been developed. The model was built using the ANSYS commercial computational fluid dynamics (CFD) code, ANSYS CFX. This drill model is helping us to understand the water/ice melting process near the bottom of the drill hole, and to evaluate the influence of nozzle size, spray angle, water flow rate, and water temperature on the drill hole shape, and on drilling speed. The basis for the model is ANSYS CFX, which has multi-phase, conjugate heat transfer capabilities. The model utilizes a multi-phase approach, and simulates motion of the drill with respect to the ice. The sensitivity of model predictions to mesh resolution, turbulence model, and interfacial heat transfer coefficients, area, and drag coefficient was studied, and the results were used to determine preferred values in each case. This multi-phase model was selected after evaluating an equilibrium model and obtaining results showing not completely satisfactory comparisons to experimental data from the South Pole. Computations at a drill depth of 1292 m allowed validation of code results using actual field data obtained during the 2004–2005 IceCube drilling season at Antarctica. A series of steady-state runs using two drill sizes, two drill speeds, and one spray angle were performed for conditions at 1292 m to determine if a smaller nozzle orifice would enable faster drilling, preferably by a factor of two. The model predicted a drill hole diameter of from 18 in to 25 in and an up-flow water temperature of from 20°C to 28°C. The drill hole diameter is consistent with values measured at the IceCube site, but the water temperature is about 10°C low. No evidence of the nozzle tip impacting the bottom of the hole was found in the drill speed range 3.5 ft/min to 7 ft/min. A nozzle spray angle of 25 degrees was found to make little difference in hole depth or diameter. Reducing the nozzle diameter from 1 in to 0.75 in at the same water volumetric flow rate resulted in an increase in the drill hole depth by from 16% to 20%. The latter result implies that faster drilling is expected when using a smaller size orifice with zero degree spray angle. The IceCube drill model is now available to determine the effects of key variables, to evaluate the performance of new nozzle designs, and to specify drill speed versus depth. Recommendations specific to faster drilling speeds resulted in a near doubling of actual speed during the 2005–2006 season at the South Pole.

scholarly journals Impact of Packaging on Consumer Buying Behavior: A Study made on Millennial of Karachi

2019 ◽  
Vol 15 (2) ◽  
pp. 109-123
Author(s):  
Muhammad Ahmed Soofi Desai ◽  
Keyword(s):  
Life Style ◽  
Research Work ◽  
Purchase Behavior ◽  
Purchase Decision ◽  
Buying Behavior ◽  
Product Packaging ◽  
Independent Variables ◽  
Changing Trend ◽  
Spss Software ◽  
Consumer Buying Behavior

The aim of this research is to identify the relation of product packaging on consumer’s buying behavior of millennial of Karachi. The objective of this research is to add information in the existing research work which is done in packaging and how it influences the purchase behavior and then decision of the millennial of Karachi. The purpose of the research is to study those factors that can be use by the companies for driving the success of packaging style. This study will also explore the relations between different variables of packaging with consumer behavior. The dependent variable here in the study is consumer buying behavior while about five independent variables also used. This research is the brief overview of some important factors that can influence the purchase decision. The data used in the research is primary that will be collected from the millennial of Karachi through questionnaires (instruments) and then analyzed on SPSS software. The sample size is 311 which are aged between 15 and 40. After analyzing the data, the observations indicate that how much packaging is one of the most important factors for product that can influence the buying behavior especially of millennial. The changing trend and consumer’s life style pattern is increasing the influence in packaging. The color, material of packaging, wrapper design and innovation also played an important role in consumer’s purchase decision. Nowadays, the packaging color and design is also used as a medium of communicating the message to consumer. In last, the implication of the study with some future recommendations and research limitation with future gap has also been provided for exploring the new concept in the topic.

PATTERNS OF GASTROPOD MOLLUSK PREDATION ON BIVALVE MOLLUSKS ALONG THE UPPER TEXAS GULF COAST

2018 ◽  
Vol 70 (1) ◽  
Author(s):  
Serena J. Randolph ◽  
Alan D. Maccarone
Keyword(s):  
Shell Thickness ◽  
Prey Species ◽  
Gulf Coast ◽  
Prey Selection ◽  
Drill Hole ◽  
The United States ◽  
Hole Diameter ◽  
Bivalve Mollusks ◽  
Collection Site ◽  
Drill Holes

Abstract Predation on bivalve mollusks by gastropod mollusks is common in coastal regions of the United States; however, few previous studies have examined whether drilling gastropods exhibit prey selection. In 2016, shells with small holes drilled by as many as two gastropod predators were collected at three sites separated by 30 km along the Texas Upper Gulf Coast on the Bolivar Peninsula (29° 40′N, 94° 90′W). The likeliest predators in these waters are the southern oyster drill (Stramonita haemastoma Linnaeus 1767) and the moon snail (Neverita duplicate Say 1822). Collected shells were identified to species and measurements were taken to examine statistical relationships between predators and prey species. These measurements included drill-hole diameter, shell thickness, drill-hole completeness, number of drill attempts, and collection site. Across the three locations, 17 different species of shells with drill holes were collected; of these, we focused on the ten most abundant species (n = 277 shells). The sample showed high variation in drill-hole diameter, shell thickness, and drill-hole completeness. Both the total number of holes and mean drill-hole diameter differed significantly among prey species (ANOVA, both P < 0.0001). In addition, drill-hole diameter correlated directly with prey shell thickness (P < 0.0001). Shells whose drill holes were complete were significantly thinner than shells with incomplete holes (P < 0.0001). Mean prey shell thickness, mean drill-hole diameter, and mean number of drill holes all differed significantly by collection site (all P < 0.0001). Ecological and morphological implications related to gastropod predation on mollusks are discussed.

Dampak Brand Image dan Harga terhadap Keputusan Pembelian Produk Miniso

2021 ◽  
Vol 2 (2) ◽  
pp. 75-87
Author(s):  
Kardinah Indrianna Meutia ◽  
Hadita Hadita ◽  
Wirawan Widjarnarko
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Linear Regression Model ◽  
Brand Image ◽  
Multiple Linear Regression Model ◽  
Purchasing Decisions ◽  
Business World ◽  
Independent Variables ◽  
Spss Software ◽  
Fierce Competition

The economy in the current era of globalization has fierce competition, especially in the business world, where each company moves to continue to make products primarily to meet what is needed by consumers and companies are always innovating to make products that are different from before and from  competitors and strive to be superior to other products.  This study was conducted with the aim of analyzing the independent variables which include brand image and price variables on their influence on the dependent variable, namely purchasing decisions.  This study uses multiple linear regression model and with classical assumption test using SPSS software version 24. Data were obtained primarily by distributing questionnaires to 162 students at Bhayangkara University, Jakarta Raya.  This study states that brand image and price variables can partially and significantly influence consumer purchasing decisions positively. The F test explains that the brand image and price variables together can influence purchasing decisions with results showing f-count>f-table.

scholarly journals Effects of Internal Service Quality on Work Engagement: A Case Study of Hotel Soaltee Crowne Plaza

2020 ◽  
Vol 5 (2) ◽  
pp. 63-76
Author(s):  
Eveeta Shakya ◽  
Puja Tamang
Keyword(s):  
Service Quality ◽  
Work Engagement ◽  
Significant Relationship ◽  
Research Work ◽  
Independent Variables ◽  
Study Results ◽  
Internal Service Quality ◽  
Relationship Of ◽  
The Impact ◽  
Employee Work Engagement

This study examined the Service Quality (SERVQUAL) model with the Internal Service Quality (ISQ) dimensions such as tangibles, reliability, responsiveness, assurance and empathy that impact on employee work engagement. This research work was conducted in Hotel Soaltee Crowne Plaza (SCP), one of the 5-star deluxe hotels of Nepal. The study has adopted an inferential research design to meet the study objectives regarding the impact of independent variables on work engagement of SCP Hotel. A structured questionnaire was distributed to 126 sample respondents out of a total of 503 employees of SCP hotel. The study reveals a significant relationship of work engagement with empathy and not with rest of the independent variables. Based on the findings it is recommended that employees should be taken good care of, and employers should be well aware of the employees’ emotional level since empathy has shown a highly significant relationship with work engagement. Study results have scope of future reference whereby implementing SERVQUAL dimensions for employee work engagement and reduction in employee turnover and improved.

scholarly journals LEVEL OF EMOTIONAL INTELLIGENCE AND ITS IMPACT ON ACCEPTANCE TO TECHNOLOGY IMPLEMENTATION: A STUDY ON EMPLOYEES OF PRIMARY COOPERATIVE CREDIT SOCIETIES IN IDUKKI DISTRICT

2021 ◽  
pp. 333-337
Author(s):  
Mrs. Maya Murali ◽  
Dr. Well Haorei
Keyword(s):  
Emotional Intelligence ◽  
Technology Implementation ◽  
Self Regulation ◽  
Research Work ◽  
Social Awareness ◽  
Self Awareness ◽  
Independent Variables ◽  
Research Article ◽  
Five Factors ◽  
Bank Employees

This research article is an extract of Ph.D. thesis research work. The present paper analyses the level of emotional intelligence and its impact on acceptance to technology implementation among the employees of primary cooperative credit societies in Idukki District. The study concluded that multiple regression analysis indicated independent variables, namely; social skills factor, social awareness factor, self-regulation factor, and self-awareness factor were highly significant in supplementing emotional intelligence among the bank employees in the study area. Further, from the analysis of Pearson’s correlation coefficient of emotional intelligence index and emotional intelligence factors, the study concludes that all the five emotional intelligence factors are statistically significant and has a positive correlation to emotional intelligence index. So, to increase the emotional intelligence level of the sample bank employees the higher authorities of the study banks should impart training in those five factors. KEY WORDS: Level of Emotional Intelligence and Impact, Employees, Idukki District

Application of TOPSIS Method for Prediction of Optimum Design Parameters of Micro Hole Textured Cutting Inserts in Turning of Al-MMC

2021 ◽  
Vol 13 (4) ◽  
Author(s):  
S. Devaraj ◽  
M. Ramakrishna ◽  
B. Singaravel
Keyword(s):  
Optimum Design ◽  
Hole Diameter ◽  
Machining Process ◽  
Cutting Fluid ◽  
Design Parameters ◽  
Topsis Method ◽  
Hole Depth ◽  
Diameter Hole ◽  
Relative Closeness ◽  
Micro Hole

Metal Matrix Composite (MMC) has better mechanical properties and it is possible to produce near net shape. Aluminum-based MMC (Al-MMC) has challenges in terms of machinability studies and estimation of its optimum process parameters. Alternative cutting fluid research is a challenging area in machining. To avoid, existing hydrocarbon oil-based cutting fluid, textured inserts embedded with a solid lubricant are one of the alternative solutions. Micro hole textured inserts make a hole on the rake face of the cutting tool inserts. Texture includes various important design parameters namely hole diameter, hole depth and pitch between the holes. These optimum parameters influence the machining process. In this work, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is used to find the optimum design parameters (hole diameter, hole depth and pitch between holes) during turning of Al- MMC. The objective parameters considered are minimization of surface roughness, power consumption and tool flank wear. The optimum combination of these design parameters is obtained by the higher relative closeness value of the TOPSIS method. The result of the investigation revealed that these design parameters are important to obtain improved machining performance. Also, it is understood that the TOPSIS method has an appropriate procedure to solve multiple objective optimization problems in manufacturing industries.

scholarly journals A Stochastic Model Approach for Copper Heap Leaching through Bayesian Networks

Metals ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. 1198 ◽  
Author(s):  
Saldaña ◽  
González ◽  
Jeldres ◽  
Villegas ◽  
Castillo ◽  
...  
Keyword(s):  
Bayesian Networks ◽  
Analytical Models ◽  
Error Statistics ◽  
Probabilistic Networks ◽  
Independent Variables ◽  
Conditional Dependence ◽  
Normality Test ◽  
Operational Variables ◽  
Input Variables ◽  
Copper Heap Leaching

Multivariate analytical models are quite successful in explaining one or more response variables, based on one or more independent variables. However, they do not reflect the connections of conditional dependence between the variables that explain the model. Otherwise, due to their qualitative and quantitative nature, Bayesian networks allow us to easily visualize the probabilistic relationships between variables of interest, as well as make inferences as a prediction of specific evidence (partial or impartial), diagnosis and decision-making. The current work develops stochastic modeling of the leaching phase in piles by generating a Bayesian network that describes the ore recovery with independent variables, after analyzing the uncertainty of the response to the sensitization of the input variables. These models allow us to recognize the relations of dependence and causality between the sampled variables and can estimate the output against the lack of evidence. The network setting shows that the variables that have the most significant impact on recovery are the time, the heap height and the superficial velocity of the leaching flow, while the validation is given by the low measurements of the error statistics and the normality test of residuals. Finally, probabilistic networks are unique tools to determine and internalize the risk or uncertainty present in the input variables, due to their ability to generate estimates of recovery based upon partial knowledge of the operational variables.

scholarly journals An Invariance Property of Predictors in Kernel-Induced Hypothesis Spaces

2006 ◽  
Vol 18 (4) ◽  
pp. 749-759 ◽  
Author(s):  
Nicola Ancona ◽  
Sebastiano Stramaglia
Keyword(s):  
Time Series ◽  
Radial Basis Function ◽  
Basis Function ◽  
Sufficient Conditions ◽  
Kernel Functions ◽  
Invariance Property ◽  
Risk Minimization ◽  
Independent Variables ◽  
Input Variables ◽  
New Variables

We consider kernel-based learning methods for regression and analyze what happens to the risk minimizer when new variables, statistically independent of input and target variables, are added to the set of input variables. This problem arises, for example, in the detection of causality relations between two time series. We find that the risk minimizer remains unchanged if we constrain the risk minimization to hypothesis spaces induced by suitable kernel functions. We show that not all kernel-induced hypothesis spaces enjoy this property. We present sufficient conditions ensuring that the risk minimizer does not change and show that they hold for inhomogeneous polynomial and gaussian radial basis function kernels. We also provide examples of kernel-induced hypothesis spaces whose risk minimizer changes if independent variables are added as input.

The Investigation of Ultrasonic Energy Attenuation in AISI 316 Stainless Steel Weld Joint

2017 ◽  
Vol 751 ◽  
pp. 207-212 ◽  
Author(s):  
Mai Noipitak ◽  
Boonhlua Khwansri
Keyword(s):  
Stainless Steel ◽  
Transverse Wave ◽  
Weld Joint ◽  
Weld Zone ◽  
Drill Hole ◽  
Hole Diameter ◽  
Ultrasonic Energy ◽  
Steel Weld ◽  
Stainless Steel Weld ◽  
Aisi 316

This research aims to study and describe the effect of microstructure on shape of distance amplitude correction (DAC) curve and ultrasonic inspectability of stainless steel weld joint. Two calibration blocks (side drilled hole block) were prepared from AISI 316 stainless steel plate according with ASME section V version 2013. One calibration block was varied the grain size by annealing process. The annealing temperature and holding time were 1,200 °C and 4 hours, respectively and then cooled down in furnace. AISI 316 Butt joint welding specimens were prepared to establish the artificial discontinuities. Lack of fusion and drill hole, diameter 1 and 2.5 mm, were selected to establish as discontinuities. Specimens were welded by gas tungsten arc welding and shielded metal arc welding process. Then, the gain size and microstructure of two calibration blocks were analyzed by microscope. The macrostructure, gain size and microstructure of weld joint were determined by microscope. Longitudinal and transverse wave with probe frequency 2.25 and 4 MHz and angle probe 45, 60 and 70 degrees were used to describe the effect of microstructure on shape of DAC curve and investigate the ultrasonic inspectability in stainless steel weld. The experiment results found that the ultrasonic energy of longitudinal and transverse wave in calibration blocks decreased as the gain size increased. The attenuation due to gain size affected to the shape of DAC curve. The grain size in heat effected zone (HAZ) of weld specimen is larger than base material and the ultrasonic transverse wave can detect lack of fusion and drill hole diameter 2.5 mm but cannot detect drill hole diameter 1 mm. The usefulness of this research is utilizable for searching the discontinuities in the weld zone of stainless steel by ultrasonic. The attenuation of ultrasonic energy in the weld zone of AISI 316 is usually high and the amplitude displayed at the screen is very low. This reason can be made the operator wrong result interpretation, if they did not consider about the attenuation from microstructure.

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