Search results

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.

Race, religion and culture have been issues in a number of high profile public enquires, but there is little advice to black and minority ethnic (BME) communities about ways to help safeguard children. In Walsall, the Local Safeguarding Children Board (LSCB) worked with Muslim organisations to raise awareness on safeguarding local children. The Madressah Project focused on places where large numbers of Muslim children went each day for religious education.The aims of the Madressah project were:• to provide information and guidance to parents, carers and Mosques/Madressahs on ensuring the safety of their children• to advise Madressahs on their legal obligations• to provide advice on safe recruitment• to provide child protection training to the Mosques/Madressahs.The project resulted in an action plan and Good Practice Guide. The Guide attracted wide interest from inspectorates and other local authorities resulting in Walsall providing advice and guidance to others looking to improve practice and provide safe environments for children irrespective of race, ethnicity or culture.

Ti6Al4V is a commonly used titanium alloy with several applications in aerospace industry due to its excellent strength to weight ratio. But due to low thermal conductivity, it is categorized as “difficult to machine.” Though machinability can be improved with cutting fluids, it is not preferred due to associated problems. This study aims at eliminating the use of cutting fluid and finding an alternate solution to dry machining of Ti6Al4V. AlTiN coated tools provide good heat and oxidation resistance but have low lubricity. In the present work, graphene, which is known for lubricating properties, is added to the tools using five different methods (tool condition) to form graphene self-lubricated cutting tools.

Graphene-based self-lubricating tools are prepared by using five methods: dip coating (10 dips and 30 dips); drop casting; and filling of micro/macroholes. Performance of these tools is evaluated in terms of cutting forces, surface roughness and tool wear by machining Ti6Al4V and comparing with conventional coated cutting tool.

Self-lubricating tool with micro holes filled with graphene outperformed other tools and showed maximum decrease of 33.42% in resultant cutting forces, 35% in surface roughness (Ra) and 30% in flank wear compared to conventional cutting tool.

Analysis of variance for all forces show that tool condition and machining time have significant influence on all components of cutting forces and resultant cutting forces.

This paper aims to deal with heat transfer enhancement because of transverse vibration on counter flow concentric pipe heat exchanger. Experiments were performed at different vibrator positions with varying amplitudes and frequencies.

Tests are carried out at 4 different vibration frequencies (20, 40, 60 and 100 Hz), 3 vibration amplitudes (23, 46 and 69 mm) and at 3 vibrator positions (1/4, 1/2 and 3/4 of pipe length) with respect to hot water inlet under turbulent flow condition.

Experimental results indicate that Nusselt number is enhanced to a maximum extent of 44% with vibration when compared to Nusselt number without vibration at a frequency of 40 Hz, an amplitude of 69 mm and at a vibrator position of one-fourth of pipe length with respect to hot water inlet.

Empirical correlation is developed from experimental data to estimate the heat transfer coefficient with vibration for experimental frequency range with an error estimate of approximately ±10%.

The present work aims at improving the performance of the engine using optimized fuel injection strategies and operating parameters for plastic oil ethanol blends. To optimize and predict the engine injection and operational parameters, response surface methodology (RSM) and artificial neural networks (ANN) are used respectively.

The engine operating parameters such as load, compression ratio, injection timing and the injection pressure are taken as inputs whereas brake thermal efficiency (BTHE), brake-specific fuel consumption (BSFC), carbon monoxide (CO), hydrocarbons (HC), oxides of nitrogen (NO_x) and smoke emissions are treated as outputs. The experiments are designed according to the design of experiments, and optimization is carried out to find the optimum operational and injection parameters for plastic oil ethanol blends in the engine.

Optimum operational parameters of the engine when fuelled with plastic oil and ethanol blends are obtained at 8 kg of load, injection pressure of 257 bar, injection timing of 17° before top dead center and blend of 15%. The engine performance parameters obtained at optimum engine running conditions are BTHE 32.5%, BSFC 0.24 kg/kW.h, CO 0.057%, HC 10 ppm, NO_x 324.13 ppm and smoke 79.1%. The values predicted from ANN are found to be more close to experimental values when compared with the values of RSM.

In the present work, a comparative analysis is carried out on the prediction capabilities of ANN and RSM for variable compression ratio engine fuelled with ethanol blends of plastic oil. The error of prediction for ANN is less than 5% for all the responses such as BTHE, BSFC, CO and NO_x except for HC emission which is 12.8%.

The case explores information technology (IT) company Mindtree’s journey of 20 years from the time it was founded in 1999 to be different from others, and how it became a target for acquisition by an Indian diversified conglomerate in 2019. It offers insights into developing organizational culture and values in an organization, threats faced by a company when promoters dilute their shareholding, and the strategies followed by the acquirer and the target firm. It also deals with the challenges in the acquisition of a knowledge service digital firm. After working through the case and assignment questions, students will be able to: identify the circumstances under which a company can become a target for hostile takeover; describe motivations of the acquirer firm in an acquisition; distinguish between acquisition and hostile takeover, and discuss salient features of Securities and Exchange Board of India (substantial acquisition of shares and takeover) regulations, 2011; list the defenses a target firm can adopt to ward off hostile acquirer; explore strategies followed by acquirer and target firms; analyze important ingredients of organization culture, and importance of cultural congruence in an acquisition; and discuss challenges faced by an acquirer in India, namely, legal, retention of clients and key people in the target firm particularly in hostile environment.

The case explores how ten IT professionals founded mid-tier IT services company Mindtree in 1999 in Bengaluru, India (home to Infosys and Wipro) to be different from others – by inserting themselves at a higher level in the value chain, being philanthropic as a part of broader business strategy to attract a certain kind of employee and customer. It developed a culture of equality, consideration and respect. Its attrition rate of 12 to 13 per cent was significantly lower than the Industries. Mindtree crossed annual revenue of US$1bn for FY 2019 and was growing at twice the industry’s growth rate. The most attractive part was that its proportion of revenue from digital services was about 50 per cent as compared to 25-35 per cent of other services vendors. With time, the share of promoters/founders declined and increased one investor’s shareholding of V. G. Siddhartha and his related entities. In early March 2019, the promoters’ stake was 13.32 per cent while Siddhartha had 20.32 per cent. Larsen and Toubro (L&T) one of India’s conglomerate entered into a share purchase agreement on March 18, 2019 with Siddhartha to acquire his 20.32 per cent stake. Immediately, L&T asked its broker to purchase up to 15 per cent of share capital of Mindtree at a price not exceeding INR 980 per share (each share of face value INR 10). This would trigger an open offer by L&T to purchase additional 31 per cent shares of Mindtree. The action of hostile takeover bid by L&T evoked emotional criticism from Mindtree founders. Mindtree efforts to defend itself could not materialize. L&T’s stake crossed 26 per cent on May 16, 2019. After Indian regulator SEBI’s approval, L&T’s open offer to buy shares from Mindtree shareholders commenced on June 17, 2019. The case examines motivation of the acquirer firm particularly when it is a conglomerate, and how a well-performing company became a target for hostile takeover. It looks at vulnerabilities of a target firm, and defensive steps a firm can take to fence itself against such takeover. The case also explores how organizational culture is built in a people-oriented business, namely, digital services, and what role it plays in a merger of two firms.

The case is suited for postgraduate students of management, as well as those undergoing executive courses in management.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 11: Strategy.

The purpose of this study is to assess the influence of Al and Ag addition on thermal, mechanical and shape memory properties of Cu-Al-Ag alloy.

The material is synthesized in a controlled atmosphere to minimize the reaction of alloying elements with the atmosphere. Cast samples were homogenized, then subjected to hot rolling and further betatized, followed by step quenching. Eight samples were chosen for study among which first four samples varied in Al content, and the next set of four samples varied in Ag composition.

The testing yielded a result that the increase in binary alloying element decreased transformation temperature range but increased entropy and elastic energy values. It also improved the shape memory effect and mechanical properties (UTS and hardness). An increase in ternary alloying element increased transformation temperature range, entropy and elastic energy values. The shape memory effect and mechanical properties are enhanced by the increase in ternary alloying element. The study revealed that compositional variation of Al should be limited to a range of 8 to 14 Wt.% and Ag from 2 to 8 Wt.%. Microstructural and diffraction studies identified the ß’1 martensite as a desirable phase for enhancing shape memory properties.

Numerous studies have been made in exploring the transformation temperature and phase formation for similar Cu-Al-Ag shape memory alloys, but their influence on shape memory effect was not extensively studied. In the present work, the influence of Al and Ag content on shape memory characteristics is carried out to increase the design choice for engineering applications of shape memory alloy. These materials exhibit mechanical and shape memory properties within operating ranges similar to other copper-based shape memory alloys.

This paper aims to deal with the optimization of engine operational parameters such as load, compression ratio and blend percentage of fuel using a combined approach of particle swarm optimization (PSO) with Derringer’s desirability.

The performance parameters such as brake thermal efficiency (BTHE), brake specific fuel consumption (BSFC), CO, HC, NO_x and smoke are considered as objectives with compression ratio, blend percentage and load as input factors. Optimization is carried out by using PSO coupled with the desirability approach.

From results, the optimum operating conditions are found to be at compression ratio of 18.5 per cent of fuel blend and 11 kg of load. At this input’s parameters of the engine, outputs performance parameters are found to be 34.84 per cent of BTHE, 0.29 kg/kWh of BSFC, 2.86 per cent of CO, 13 ppm of HC, 490 ppm of NO_x and 26.25 per cent of smoke.

The present study explores the abilities of both particle swarm algorithm and desirability approach when used together. The combined approach resulted in faster convergence and better prediction capability. The present approach predicted performance characteristics of the variable compression ratio engine with less than 10 per cent error.