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The purpose of the present paper aims to, study the coefficient of friction and wear behavior of nickel based super alloys used in manufacturing of gas and steam turbine blades. In present paper, parametric study focuses on normal load, dry sliding velocity and contact temperature influence on coefficient of friction and wear of a nickel based super alloy material.

Experimental investigation is carried out to know the effect of varying load at constant sliding velocity and varying sliding velocity at constant load on coefficient of friction and wear behavior of nickel based super alloy material. The experiments are carried out on a nickel based super alloy material using pin on disk apparatus by load ranging from 30 N to 90 N and sliding velocity from 1.34 m/s to 2.67 m/s. The contact temperature between pin and disk is measured using K-type thermocouple for all test conditions to know effect of contact temperature on coefficient of friction and wear behavior of nickel based super alloy material. Analytical calculations are carried out to find wear rate and wear coefficient of the test specimen and are compared with experimental results for validation of experimental setup. Regression equations are generated from experimental results to estimate coefficient of friction and wear in the range of test conditions.

From the experimental results, it is observed that by increasing the normal load or sliding velocity, the contact temperature between the pin and disk increases, the coefficient of friction decreases and wear increases. Analysis of variance (ANOVA) is used to study the influence of individual parameters like normal load, dry sliding speed and sliding distance on the coefficient of friction and wear of nickel based super alloy material.

This is the first time to study effect of contact temperature on the coefficient of friction and wear behavior of nickel-based super alloy used for gas and steam turbine blades. Separate regression equations have been developed to determine the coefficient of friction and wear for the entire range of speed of gas turbine blades made of nickel based super alloy. The regression equations are also validated against experimental results.

Ensuring the early detection of structural issues in aircraft is crucial for preserving human lives. One effective approach involves identifying cracks in composite structures. This paper employs experimental modal analysis and a multi-variable Gaussian process regression method to detect and locate cracks in glass fiber composite beams.

The present study proposes Gaussian process regression model trained by the first three natural frequencies determined experimentally using a roving impact hammer method with crystal four-channel analyzer, uniaxial accelerometer and experimental modal analysis software. The first three natural frequencies of the cracked composite beams obtained from experimental modal analysis are used to train a multi-variable Gaussian process regression model for crack localization. Radial basis function is used as a kernel function, and hyperparameters are optimized using the negative log marginal likelihood function. Bayesian conditional probability likelihood function is used to estimate the mean and variance for crack localization in composite structures.

The efficiency of Gaussian process regression is improved in the present work with the normalization of input data. The fitted Gaussian process regression model validates with experimental modal analysis for crack localization in composite structures. The discrepancy between predicted and measured values is 1.8%, indicating strong agreement between the experimental modal analysis and Gaussian process regression methods. Compared to other recent methods in the literature, this approach significantly improves efficiency and reduces error from 18.4% to 1.8%. Gaussian process regression is an efficient machine learning algorithm for crack localization in composite structures.

The experimental modal analysis results are first utilized for crack localization in cracked composite structures. Additionally, the input data are normalized and employed in a machine learning algorithm, such as the multi-variable Gaussian process regression method, to efficiently determine the crack location in these structures.

Wind power is the one of best natural resources to meet the demands of electricity in India. In this regard, one of engineering college in Visakhapatnam has procured wind turbine generators of 200 kWp and got these installed on the rooftop of the college buildings for research and power generation. After starting the mills, huge vibrations were experienced by the staff and students in the laboratories and classrooms. So, the purpose of this paper is to carry out vibration and noise studies on wind turbine generator to identify the problem for high vibrations and suggest a novel method for vibration reduction.

Experimental vibration and natural frequency investigations are carried when wind velocity around 6.0 m/s using frequency analyzer, impact hammer, condenser microphone and accelerometer. An attempt is made to reduce the vibration and noise level of wind turbine generator by inserting a steel coil spring of 300 mm length having 20 turns in series with turnbuckle D shackle assembly, which is used to connect the wind turbine generator to the hook mounted on slab.

A high vibration velocity of 9.9 mm/s was observed on at base frame of wind turbine generator. The natural frequencies of hook and slab are observed in between 15 to 20 Hz from the natural frequency test. A high noise of 94.67 dBA is observed at a distance of 1 m from the base of wind turbine generator along the rotational axis of rotor. After modification to the baseline, WTG the vibration and noise levels are reduced to 4.8 mm/sec and 77.76 dBA, respectively.

This is the first time to study the huge vibrations generated in wind turbine generators installed on the rooftop of the college. Developed a novel methodology to reduce the vibrations by inserting a steel coil springs in turnbuckle D shackle assembly of wind turbine generators. After modification, wind turbine generator are running successfully without any high vibrations.

Success and business reputation depend upon the quality of products where product quality depends upon the capability of a process, yield value and sigma score, etc. Poor quality of ceiling fan and mass rejection from quality check resulted in an alarming amount of cost for rework. As a result, the fulfillment of the production target was getting difficult day by day. The main purpose of this research is to identify the crucial causes for humming noise of ceiling fans and control it to a tolerable level so that maximum quality can be achieved.

The poor quality of ceiling fans was determined from the Pareto analysis of the define, measure, analyze, improve and control model which was humming noise during running and further actions were undertaken regarding the reduction of the humming noise. Project charter was formed before initiating the measure phase to study the suppliers, inputs, processes, outputs and customers diagram with process parameters and existing noise data were collected from random samples to determine the rolled throughput yield (94.95% existing) and existing sigma score which value of 3.14 and also the poor value (1.05) of process potential index implied that the process condition was below standard (<1.33) and need to be improved badly. Then root causes analysis and relationship diagram was prepared to identify the possible causes and with the design of experiments and correlation analysis, it was clear that the air gap between the stator and rotor was the main culprit behind the humming noise.

The minimum value of air gap was determined from boxplot analysis which was 0.2 mm–0.225 mm and the corresponding mean, the minimum and maximum value of sound level in dB (37.5–40.3 dB) for 0.225 mm air gap with the watt consumption (83 w) from the hypothesis test for the corresponding air gap. Finally, the updated sigma score and process capability analysis were performed with control charts to show the comparison after applying the DMAIC-six sigma methodology. The final sigma score was 5.1 which indicates a significant improvement of the process with the capability of saving US$23,438/year caused by the poor quality of ceiling fans.

Only quantitative values of the causes behind the humming noise were possible to identify. Other trivial many causes elimination might improve the sigma score closer to 6.00. The final sigma score that was achieved from this research was sustainable.

A structural approach with proper data analysis and application of various tools to detect the actual cause behind the humming noise of ceiling fans with numerical value has not been found in any literature. This research study can be a valuable asset for ceiling fan mass producers.

Mainstream narratives in Indian history do not delve into the checkered history of the west coast. The reasons for this are many, including a predominantly center-outwards viewpoint of historians. West coast has always been open to sea route influences aiding its diversity. However, the lack of natural defense against colonizers from the sea destroyed indigenous and personal heritage. Small town narratives include uprooting, lack of access to past heritage and new settlement creation. The heritage of this everyday landscape shaped by human grit is the subject of the study.

This qualitative ethnographic study includes document analysis, transect walking, architectural built form study, open interviews and participatory observations.

The motivations for heritage management can be grouped into economic, cultural and technological. From a financial point of view, the urban core studied is still relevant and sustainable. Likewise, the Krishna temple dominates the cultural discussion and architectural documentation as a religious center. However, the cultural heritage of business streets and the third motivation of building technology have been largely ignored. This disregard is evident from neglect and the pastiche use of monumental or ornamental styles alien to the region for restoration efforts.

“Heritage is personal and individual as well as collective and universal” (Mire, 2016). The Pete heritage is not just crucial for the communities they house but the town as a whole. Their nonimpervious nature means that they hold collective memories for everyone. Attention to memories and monuments will increase the possibilities of shared responsibility between various stakeholders (Swenson et al., 2012). Therefore, they should be seen as a part of the larger whole.

This paper argues for the recent global bottom-up approach in heritage management rather than the conventional established practices. Established heritage management focuses on the mainstream, royal or specific ethnic heritage in the Indian subcontinent. The heritage of the common person rarely has the grandeur of monumental architecture taken up for preservation by the state. As a result, societies' individual and collective heritage are at risk of rapid erasure under the pressures of modernization. Built forms are repositories of cultural information; therefore, a sustainable instrument for the preservation of everyday heritage can be created with culture as an actuator. This study looks at the narrative of the historical coastal small-town business core created by internal mass migration due to colonization.

In today’s competitive environment, understanding employee well-being and work engagement (WE) is crucial. This study explores the relationship between values, well-being and WE within positive organizational behavior (POB). The research aims to provide insights for promoting employee well-being and enhancing WE.

Using a cross-sectional approach, three hundred and seventy-two teachers from higher education institutes in India participated by completing questionnaires. Covariance-based structural equation modeling (CB-SEM) was employed to examine the mediation effect.

Human values i.e. benevolence (BE) and universalism (UN) significantly impacted teachers' WE. These relationships were mediated by positive emotions (PE), negative emotions (NE) and satisfaction with life (SWL). Interestingly, UN exhibited a positive relationship with PE and SWL and a negative relationship with NE. These findings contradict existing theories and may be attributed to India’s cultural aspects, particularly the concept of karma orientation.

The quantitative results obtained through CB-SEM could be complemented by future qualitative studies. Employing longitudinal research might yield different results. Generalizing the findings to other populations requires caution.

Institutions should prioritize human values in teacher recruitment and development to improve engagement. Promoting PE, managing NE and enhancing SWL can boost WE. Future research should explore mediation with other variables and use longitudinal studies to understand cultural impact and intervention strategies.

The study contributes to knowledge on WE within positive organizational behavior by examining BE and UN. Additionally, exploring the mediating effect of PE, NE and SWL adds further value.

This paper aims to examine the moderating role of organizational learning culture (OLC) on the relationship between human resource development (HRD) practices and employee competencies (EC) in enhancing organizational effectiveness (OE).

An integrated research model of HRD practices, EC, OE and OLC was developed. The validity of the model is tested by applying structural equation modelling (SEM) approach to data collected from 506 employees working in 4 medium-size cement manufacturing companies.

The results confirmed that training and career development had a significant impact on EC, the moderating effect of OLC on the relationship between HRD practices and EC was found significant and there is a significant and positive relationship between EC and employee perceived OE.

This paper contributes to the HRD literature, integrating HRD practices, OLC and EC. The research is unique as it has applied moderated SEM to test hypotheses of the study.

The purpose of this paper is to investigate the effect of health-care service quality (HCSQ) dimensions on patient satisfaction and behavioural intentions in selected corporate hospitals from South India.

Based on Parasuraman et al.’s SERVQUAL variables, the study tried to identify the effects of each variable to patient satisfaction and behavioural intentions. Data were collected through systematic random sampling among 500 in-patients of corporate hospitals with minimum four days stay were considered for the in-patients’ sample. Structural equation modelling technique was used to investigate the effect of HCSQ dimensions on patient satisfaction and behavioural intention.

The findings suggest that in addition to “patient satisfaction”, the only HCSQ dimension that directly affects behavioural intention is “empathy”. In addition, “empathy” affects “responsiveness”, “assurance” and “tangibles” which, in turn, have only an indirect effect to behavioural intention through “patient satisfaction”.

This research investigated the HCSQ dimensions effects on patient satisfaction and behavioural intention from the perspective of patients and corporate hospitals run by the private players. This paper contributes to the body of academic knowledge by shedding more light into the role of HCSQ dimensions, and especially “empathy”, in the intentions for corporate hospital patients.

An understanding of the direct and indirect effect of HCSQ dimensions on patient satisfaction and behavioural intentions is important to corporate hospital marketing managers because it offers them the opportunity to take certain actions for improving patients’ satisfaction and these actions increase their intention to revisit.

The paper manages to investigate the effects of HCSQ dimensions on patient satisfaction and behavioural intention, especially in the health-care marketing sector.

The ultra-thin white topping (UTW) is a cement concrete overlay of the thickness of 50–100 mm on bituminous concrete pavements with surface failures. This is a long-lasting solution without having short-term failures. This paper aims to design an ultra-thin cement concrete overlay using a developed critical stress model with sustainable concrete materials for low-volume roads.

In this research paper, a parametric study was conducted using the ultra-thin concrete overlay finite element model developed with ANSYS software, considering the significant parameters affecting the performance and development. The non-linear regression equation was formed using a damped least-squares method to predict critical stress due to the corner load of 51 kN.

The parametric study results indicate that with a greater elastic modulus of bituminous concrete, granular layer along with 100 mm thickness of concrete layer reduces the critical corner stress, interface shear stress in a significant way responsible for debonding of concrete overlay, elastic strains in the pavement further the concrete overlay can bear infinite load repetitions. From validation, it is understood that the non-linear regression equation developed is acceptable with similar research work done.

From the semi-scale experimental study, it is observed that the quaternary blended sustainable concrete overlay having a high modulus of rupture of 6.34 MPa is competent with conventional cement concrete overlay in terms of failure load. So, concrete overlay with sustainable materials of 100 mm thickness and higher elastic modulus of the layers can perform in a sustainable way meeting the environmental and long-term performance requirements.

The purpose of this paper is to explore leadership styles and patterns in India, Indonesia, Pakistan, and the USA in order to contribute to a greater understanding of global leadership.

The paper uses cultural mythologies as a lens (Kessler and Wong-MingJi, 2009a) to extract the most favored leadership traits within selected countries. In doing so, the paper explores historical trajectories and core values of each country to identify their distinctive characteristics. Additionally, leadership styles of well-known business leaders in each culture are examined to develop a comparative discussion of global leadership patterns and styles.

The paper finds that leaders may share same characteristics across countries, however, their behavioral expressions tend to unfold differently within each context. The paper argues that without context, meanings embedded in cultural mythologies and behaviors often become lost. The paper concludes that a comparative analysis of selected countries reveals a more complex and rich array of cultural meanings, thus offering support to a contextual view of leadership.

Examination of cultural mythologies on leadership makes important theoretical contributions by illustrating that cultural mythologies indeed shape the values, behaviors, and attitudes of global leaders, and provide three important functions that are identified as: cultural bridging, meaning making, and contextual nuancing.

Understanding comparative leadership patterns is critical in international business. The paper offers cultural mythologies as a tool for leaders who seek to cross-cultural boundaries in developing long term and high-quality productive international business relationships.

The value of the study lies in developing a comparative analysis of leadership patterns in three Southeast Asian countries and the USA with the help of cultural mythologies. The paper urges that scholars to move beyond quantification of cultural dimensions to a more contextualized understanding of leadership.