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Dive into the research topics where Leonardo Frizziero is active.

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Featured researches published by Leonardo Frizziero.


Journal of Industrial and Production Engineering | 2018

Sustainable design of open molds with QFD and TRIZ combination

Leonardo Frizziero; Daniela Francia; Giampiero Donnici; Alfredo Liverani; Gianni Caligiana

Abstract The planning activity relative to physical items, environment, and services that adapts to optimize social, economic, and ecological impact is the target of sustainable design. Quality Function Deployment (QFD) achieves product design by choosing and defining factors that can be qualitatively argued. The aim of design is to match needs in new and innovative ways. In this perspective, the QFD aims to evaluate the quality of a design process. TRIZ is a design methodology that aims at defining and overcoming some critical issues that can affect the development of a product, by means of potential innovative solutions. In this paper, QFD and TRIZ analysis were adopted in order to validate a design method for direct open molds by means of a new strategy: hybrid manufacturing can reduce production time, use of material, and energy and waste consumption, employing subtractive and additive techniques efficiently combined.


ASME 2012 International Mechanical Engineering Congress and Exposition, IMECE 2012 | 2012

Zero Emission Temporary Habitation: Analysis of a Passive Container Housing System Acclimatized by Geothermal Water

Antonio Dumas; Michele Trancossi; Mauro Madonia; Rinaldo Garziera; Luca Piancastelli; Alessandro Pirondi; Leonardo Frizziero

This paper presents a novel concept of container mobile housing system denominated ZETHa (Zero Energy Temporary Habitation). It is based on the LESP (Low Exergy Structured Panel) concept, in which the acclimatization is realized by water recirculation inside the external walls of the building and the ZEBRA concept (Zero Energy Consumption Building totally Renewable Addicted). A general plant and building design has been produced with the aim to minimize the presence of thermal bridges. The calculations of energy dispersion have been performed both in the wall and in the whole building. The energetic contribution of renewable energy plants has been evaluated to obtain a totally passive building. This evaluation will also consider energy needs by appliances.Copyright


Cogent engineering | 2018

TRIZ method for innovation applied to an hoverboard

Giampiero Donnici; Leonardo Frizziero; Daniela Francia; Alfredo Liverani; Gianni Caligiana

Abstract The aim of this work is to complete the QFD analysis carried out in a previous work that aimed to identify the main features that contribute to the success of a modern urban transport means: the hoverboard. Starting from this analysis, through the TRIZ methodology, resolutive principles have been identified for the realization of innovative solutions of the said urban transport means. In practice this analysis aims to manage the next phase of conceptual design realized with the QFD methodology and tries to guide the design process in its next phase. In this work was used the hill model, a characteristic model of the TRIZ methodology, and the technical innovative problems encountered were reformulated in terms of technical contradictions. Subsequently, general principles of inventive solutions were obtained using one of the tools of TRIZ: the matrix of contradiction. Finally, starting from these general principles of solution, innovative constructive solutions have been developed to be applied to the design of an innovative hoverboard.


Archive | 2017

GA multi-objective and experimental optimization for a tail-sitter small UAV

Luca Piancastelli; Leonardo Frizziero; Marco Cremonini

This paper introduces a Montecarlo Genetic Algorithm, hierarchical, multi-objective optimization of a Vertical Take Off landing Unmanned Aerial Vehicle having a tail sitter configuration. An optimization of the hierarchical type is introduced in place of the methods generally used multi-objective optimization, such as Pareto and “arbitrary” weighted sums. A Montecarlo method optimizes the weights of the final objective function used by the Genetic Algorithm. A very simple “spreadsheet based” algorithm defines the CAD model of the Genetic Algorithm individuals in order to evaluate the performance of the candidates. The optimization method described in this study appears to be very effective. Then experimental tests were conducted with scaled-down prototypes. Four flight tests were performed: Take Off, Cruise, Slow flight, Landing. A Taguchi matrix was defined for each experiment. The tests started from a prototype that comes directly from the Montecarlo Genetic Algorithm optimization and led to the final prototype shown along the paper (page 7, right figure). Unfortunately, the tail sitter approach proved poor control authority in the final phase of the vertical landing. Even the “final” prototype showed unsatisfactory behavior in case of erratic wind gusts. This unsolved problem is common to the tail sitter configuration that requires a power control by air jets or additional propeller to control the aircraft in the final phase of landing. Unfortunately, this necessity renders the tail sitter configuration inconvenient for small Unmanned Aerial Vehicles.


Archive | 2017

Visual Aided Assembly of Scale Models with AR

Alessandro Ceruti; Leonardo Frizziero; Alfredo Liverani

The study of the methodologies useful to support the assembly of parts is a challenging engineering task which can benefit of the most recent innovations in computer graphics and visualization technologies. This paper presents a proposal for an innovative methodology based on Virtual and Augmented Reality useful to support the components’ assembly. The herein introduced strategy is based upon a four stages procedure: at first the designer conceives the assembly sequence using a CAD system, visualizing the scene wearing an immersive Virtual Reality device. In the second stage, the same sequence is developed by an unexperienced user using the same equipment: the differences between two assembly sequences are recorded and exploited to detect critical points in the assembly sequence and to develop a Knowledge Based System. Finally, a virtual user manual is produced in Augmented Reality. When the final user uses the tool, the position of the object to assemble is detected by tracking the finger position of the user itself. A series of symbols and writings is added to the external scene to help the end-user in the assembly procedure. A test case based on the assembly of a scale model has been developed to evaluate the methodology. After an evaluation process, the procedure seems to be feasible and presents some advantages over the state-of-the-art methodologies proposed by literature.


International Conference on Sustainable Design and Manufacturing | 2017

QFD and TRIZ to Sustain the Design of Direct Open Moulds

Gianni Caligiana; Alfredo Liverani; Daniela Francia; Leonardo Frizziero; Giampiero Donnici

Sustainable design aims at the creation of physical objects, environment and services that complies to optimize social, economic, and ecological impact. QFD is able to assess the product design by the choice and definition of parameters that can be qualitatively discussed. The purpose of design is to meet a need in new ways and in innovative ways. In this context, the QFD aims at evaluating the quality of a design process. TRIZ is a design method that aim at defining and overcome some critical issue that can affect the development of a product, by means of potential innovative solutions. In this paper QDF and TRIZ analysis have been adopted in order to validate a design method for direct open moulds, by a new strategy: hybrid manufacturing can reduce the production time, the use of material, the energy and the waste consumption, employing subtractive and addictive techniques efficiently combined.


Journal of Engineering and Applied Sciences | 2014

AIRCRAFT DIESEL ENGINES CONTROLLED BY FUZZY LOGIC

Luca Piancastelli; Leonardo Frizziero; Eugenio Pezzuti


Journal of Engineering and Applied Sciences | 2014

KERS APPLICATIONS TO AEROSPACE DIESEL PROPULSION

Luca Piancastelli; E Pezzuti; Leonardo Frizziero


Walailak Journal of Science and Technology | 2012

Method for Evaluating the Durability of Aircraft Piston Engines

Luca Piancastelli; Leonardo Frizziero; Eugenio Morganti; Eugenio Pezzuti


Archive | 2014

INNOVATIVE METHODOLOGIES IN MECHANICAL DESIGN: QFD VS TRIZ TO DEVELOP AN INNOVATIVE PRESSURE CONTROL SYSTEM

Leonardo Frizziero; Fabio Ricci Curbastro

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Eugenio Pezzuti

University of Rome Tor Vergata

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E Pezzuti

University of Bologna

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Antonio Dumas

University of Modena and Reggio Emilia

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