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Dive into the research topics where Roberto d'Ippolito is active.

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Featured researches published by Roberto d'Ippolito.


Journal of Engineering for Gas Turbines and Power-transactions of The Asme | 2014

A Multidisciplinary Approach for the Comprehensive Assessment of Integrated Rotorcraft–Powerplant Systems at Mission Level

Ioannis Goulos; Fakhre Ali; Konstantinos Tzanidakis; Vassilios Pachidis; Roberto d'Ippolito

This paper presents an integrated methodology for the comprehensive assessment of combined rotorcraft–powerplant systems at mission level. Analytical evaluation of existing and conceptual designs is carried out in terms of operational performance and environmental impact. The proposed approach comprises a wide-range of individual modeling theories applicable to rotorcraft flight dynamics and gas turbine engine performance. A novel, physics-based, stirred reactor model is employed for the rapid estimation of nitrogen oxides (NOx) emissions. The individual mathematical models are implemented within an elaborate numerical procedure, solving for total mission fuel consumption and associated pollutant emissions. The combined approach is applied to the comprehensive analysis of a reference twin-engine light (TEL) aircraft modeled after the Eurocopter Bo 105 helicopter, operating on representative mission scenarios. Extensive comparisons with flight test data are carried out and presented in terms of main rotor trim control angles and power requirements, along with general flight performance charts including payload-range diagrams. Predictions of total mission fuel consumption and NOx emissions are compared with estimated values provided by the Swiss Federal Office of Civil Aviation (FOCA). Good agreement is exhibited between predictions made with the physics-based stirred reactor model and experimentally measured values of NOx emission indices. The obtained results suggest that the production rates of NOx pollutant emissions are predominantly influenced by the behavior of total air inlet pressure upstream of the combustion chamber, which is affected by the employed operational procedures and the time-dependent all-up mass (AUM) of the aircraft. It is demonstrated that accurate estimation of on-board fuel supplies ahead of flight is key to improving fuel economy as well as reducing environmental impact. The proposed methodology essentially constitutes an enabling technology for the comprehensive assessment of existing and conceptual rotorcraft–powerplant systems, in terms of operational performance and environmental impact. [DOI: 10.1115/1.4028181]


OTM Confederated International Conferences "On the Move to Meaningful Internet Systems" | 2013

Process Integration and Design Optimization Ontologies for Next Generation Engineering

Massimo D'Auria; Roberto d'Ippolito

The recent years have seen a significant increase in ontology research in the field of engineering due to the needs of domain knowledge capturing, reusing and sharing between software agents and/or engineers.


Journal of Engineering for Gas Turbines and Power-transactions of The Asme | 2015

Multi-objective Optimization of a Regenerative Rotorcraft Powerplant: Trade-off Between Overall Engine Weight and Fuel Economy

Fakhre Ali; Konstantinos Tzanidakis; Ioannis Goulos; Vassilios Pachidis; Roberto d'Ippolito

A computationally efficient and cost effective simulation framework has been implemented to perform design space exploration and multi-objective optimization for a conceptual regenerative rotorcraft powerplant configuration at mission level. The proposed framework is developed by coupling a comprehensive rotorcraft mission analysis code with a design space exploration and optimization package. The overall approach is deployed to design and optimize the powerplant of a reference twin-engine light rotorcraft, modeled after the Bo105 helicopter, manufactured by Airbus Helicopters. Initially, a sensitivity analysis of the regenerative engine is carried out to quantify the relationship between the engine thermodynamic cycle design parameters, engine weight, and overall mission fuel economy. Second, through the execution of a multi-objective optimization strategy, a Pareto front surface is constructed, quantifying the optimum trade-off between the fuel economy offered by a regenerative engine and its associated weight penalty. The optimum sets of cycle design parameters obtained from the structured Pareto front suggest that the employed heat effectiveness is the key design parameter affecting the engine weight and fuel efficiency. Furthermore, through quantification of the benefits suggested by the acquired Pareto front, it is shown that the fuel economy offered by the simple cycle rotorcraft engine can be substantially improved with the implementation of regeneration technology, without degrading the payload-range capability and airworthiness (one-engine-inoperative) of the rotorcraft.


Journal of Engineering for Gas Turbines and Power-transactions of The Asme | 2013

Rotorcraft Engine Cycle Optimization at Mission Level

Ioannis Goulos; Fabian Hempert; Vishal Sethi; Vassilios Pachidis; Roberto d'Ippolito; Massimo D'Auria


Archive | 2010

A Multidisciplinary Simulation Framework for Optimization of Rotorcraft Operations and Environmental Impact

Jos Stevens; Roberto d'Ippolito; Vassilios Pachidis; A. Berta; Ioannis Goulos; C. Rizzi


echallenges conference | 2014

Implementing a “one-stop-shop” providing SMEs with integrated HPC simulation resources using Fortissimo resources

Wolfgang Ziegler; Roberto d'Ippolito; Massimo D'Auria; Jochem Berends; Maarten Nelissen; Ramon Diaz


Applied Soft Computing | 2016

Design space exploration using Self-Organizing Map based adaptive sampling

Keiichi Ito; Ivo Couckuyt; Roberto d'Ippolito; Tom Dhaene


Journal of Engineering for Gas Turbines and Power-transactions of The Asme | 2015

Multi-objective Optimization of Conceptual Rotorcraft Powerplants: Trade-off Between Rotorcraft Fuel Efficiency and Environmental Impact

Fakhre Ali; Konstantinos Tzanidakis; Ioannis Goulos; Vassilios Pachidis; Roberto d'Ippolito


5th International Conference on Experiments/Process/System Modeling/Simulation/Optimization (IC-EpsMsO - 2013) | 2013

Self-organizing map based adaptive sampling

Keiichi Ito; Tom Dhaene; Naji El Masri; Roberto d'Ippolito; Joost Van de Peer


Journal of Engineering for Gas Turbines and Power-transactions of The Asme | 2015

Design Space Exploration and Optimization of Conceptual Rotorcraft Powerplants

Fakhre Ali; Konstantinos Tzanidakis; Ioannis Goulos; Vassilios Pachidis; Roberto d'Ippolito

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Jos Stevens

National Aerospace Laboratory

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Massimo D'Auria

Katholieke Universiteit Leuven

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Keiichi Ito

Katholieke Universiteit Leuven

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