Search results

The decrease in specific thrust achieved by Ultra-High Bypass Ratio (UHBPR) aero-engines allows for a reduction in specific fuel consumption. However, the typical associated larger fan size might increase the nacelle drag, weight and the detrimental interference effects with the airframe. Consequently, the benefits from the new UHBPR aero-engine cycle may be eroded. This paper aims to evaluate the potential improvement in the aerodynamic performance of compact nacelles for installed aero-engine configuration.

Drooped and scarfed non-axisymmetric compact and conventional nacelle designs were down selected from a multi-point CFD-based optimisation. These were computationally assessed at a set of installation positions on a contemporary wide-body, twin-engine transonic aircraft. Both cruise and off-design conditions were evaluated. A thrust and drag accounting method was applied to evaluate different aircraft, powerplant and nacelle performance metrics.

The aircraft with the compact nacelle configuration installed at a typical installation position provided a reduction in aircraft cruise fuel consumption of 0.44% relative to the conventional architecture. However, at the same installation position, the compact design exhibits a large flow separation at windmilling conditions that is translated into an overall aircraft drag penalty of approximately 5.6% of the standard cruise net thrust. Additionally, the interference effects of a compact nacelle are more sensitive to deviations in mass flow capture ratio (MFCR) from the nominal windmilling diversion condition.

This work provides a comprehensive analysis of not only the performance but also the aerodynamics at an aircraft level of compact nacelles compared to conventional configurations for a range of installations positions at cruise. Additionally, the engine-airframe integration aerodynamics is assessed at an off-design windmilling condition which constitutes a key novelty of this paper.

Climate change significantly impacts global temperatures, posing challenges to various sectors, including aviation. The purpose of this study is to assess the impact of climate change on aircraft engine performance during different flight phases (take-off and cruise) and the environmental consequences.

This study examines the effects of rising temperatures on aircraft engine performance using real-time data from a Boeing 787-8 equipped with GEnx-1B engines, which are collected via Flight Data Recorder of the engines and were analyzed for the take-off and cruise phases on the ground. Exhaust gas temperature (EGT), fuel flow and take-off weights were evaluated.

The analysis revealed a significant increase in EGT at the cruising altitude of 38,000 ft during the summer months compared to expected standard atmospheric values. This increase, averaging over 200 °C, is attributed to global warming. Such elevated temperatures are likely to accelerate the degradation of turbine components, resulting in increased fuel consumption: higher EGT signifies inefficient engine operation, resulting in more fuel burned per unit thrust; early engine aging: elevated temperatures accelerate wear and tear on turbine components, potentially reducing engine lifespan and increasing maintenance costs and enhanced atmospheric pollution: incomplete combustion at high EGTs generates additional emissions, contributing to local air quality concerns.

The research findings have practical implications for understanding the potential operational challenges and environmental impacts of climate change on aircraft engine performance. This lets us explore mitigation strategies and adapt operational procedures to ensure sustainable regional aviation practices.

This research enhances environmental consequences by assessing the impact of climate change on aircraft performance.

Anthropomorphism plays a crucial role in the deployment of human-like robots in hospitality and tourism. This study aims to propose an anthropomorphism-based typology of artificial intelligence (AI) robots, based on robot attributes, usage, function and application across different operational levels.

Following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) checklist, the research was conducted in two stages. A search strategy was implemented to explore anthropomorphism-based AI robots and to develop a robot typology.

This study provides a comprehensive typology of anthropomorphism-based AI robots used in tourism and hospitality and classifies them into four types, namely, chatbots, mechanoids, humanoids and android robots. Each type features distinct functions and applications.

The findings can assist companies in using anthropomorphic robots to improve service and strengthen competitiveness. This study offers valuable insights to managers for deploying AI robots across diverse service sectors.

This research provides a novel typology of hospitality and tourism AI robots and extends the understanding of anthropomorphism in human–robot interaction. This typology encompasses both virtual and physical robots, providing clarity on their attributes, usage, functions and applications across diverse areas of hospitality operations.

拟人化在酒店和旅游业中的人类化机器人部署中起着至关重要的作用。本研究提出了基于拟人化的AI机器人分类学, 基于机器人的属性、使用、功能和在不同运营层面的应用。

按照系统评价和荟萃分析（PRISMA）检查表, 研究分为两个阶段进行。实施了搜索策略, 探索基于拟人化的AI机器人, 并开发了机器人分类学。

本研究提供了在旅游和酒店业中使用的基于拟人化的 AI 机器人的全面分类学, 并将它们分为四类, 即聊天机器人、机械机器人、人形机器人和仿生机器人。每种类型具有不同的功能和应用。

研究结果可以帮助企业利用拟人化机器人提升服务水平, 增强竞争力。研究为管理者在各种服务领域部署 AI 机器人提供了宝贵的见解。

本研究提供了一种新颖的酒店和旅游业 AI 机器人分类学, 并扩展了拟人化在人机交互中的理解。这种分类学涵盖了虚拟和实体机器人, 清晰地描述了它们在酒店业运营的各个领域中的属性、使用、功能。

This paper intervenes in the consequences of a myth propagated in academic discourse about the dancesport world, according to which half of the men in Latin dancesport are gay. I challenge two assumptions that surround this myth: that cisgender gay men do not contribute to the reification of the heteronormative gender binary, and that the dancesport scene is inclusive of gay people. These assumptions are based on a blatant lack of understanding of the position of gay men within the dancesport world – that is, the ways in which subjects are constituted through the effects of power.

This work is based on empirical research I conducted in the dancesport community, including ethnographic and autoethnographic fieldwork, extant documents (e.g. books, blogs, Judging Regulations) and interviews with experts and participants of the dancesport scene (2021/2022). To analyse the data, I relied on the principles of dispositive analysis, grounded theory and dance analysis.

I show that gay dancers have turned to assimilation as their only available strategy. I discuss the negative consequences of assimilation as a political strategy and how it impacted queer dancers – between invisibilisation, residual shame and a failure to challenge the heteronormative gender binary. This led gay dancers to rationalise and perpetrate harm based on the systems of oppression they had internalised.

I conclude the paper by highlighting a way beyond assimilation for queer dancers.

This paper addresses a critical gap in research on LGBT + inclusion in dancesport.

This study aims to develop an all-encompassing model to analyse various aspects of atmospherics, including components of the museum space and its physical surroundings. Moreover, it evaluates whether the identified attributes of the “museumscape” affect the positive word of mouth of museum visitors.

This exploratory study adopts a quantitative methodology. Data were collected through direct interviews with visitors at three Italian art museums and through a structured questionnaire. All dimensions were measured with multiple items on a five-point Likert scale. To assess the influence of the museumscape attributes on positive word of mouth, a structural equation model is performed adopting the two-stage testing procedure estimating the measurement model in the first stage and running a confirmatory factor analysis to assess reliability and demonstrate convergent and discriminant validity for all multi-item measures.

Six attributes of the museumscape are delineated (ambient conditions; facilities and convenience; signs and signage; staff behaviour; art gallery quality; exhibition space aesthetics). The latter three positively influence visitors' positive word of mouth.

The study expands frameworks from previous service museum marketing research in general and service museum research on atmospherics in particular. The framework developed here identifies the direct predictive power of museumscape cues on positive museum visitor's word of mouth, thus increasing knowledge of the customer service experience and service quality and atmospherics management.

The constructs discovered here may help museum managers to carefully design and manage the museumscape to enhance visitors' satisfaction and loyalty.

This study is the first application of servicescape theory in the museum context; previous applications focus on for-profit sectors.