1,721,133 research outputs found

    Twin Houses, Seoul, Corea del Sud

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    Enrico Molteni con Andrea Liverani; collaboratori: Lorenzo Tamberi, Mattia Cavaglieri, Alessandro Ferrazzano. 2015-2017 Progettare una casa è diverso che progettarne due. Il committente coreano aveva la necessità di costruire due case, con l'obiettivo di venderne una e di abitare l'altra. Non sapendo in quale avrebbe poi deciso di vivere, le case potevano essere destinate sia al committente sia ad un potenziale acquirente. Queste premesse hanno portato al progetto delle "case gemelle". La proposta si basa sulla stessa idea di forma ripetuta per entrambe le case in grado però di generare come risultato finale due organismi lievemente differenti, come gemelli. Nel rispetto del regolamento edilizio locale, abbiamo deciso di posizionare i due nuovi volumi uno accostato all’altro in modo da concentrare l'occupazione al centro dei lotti e verso la strada di accesso. I due volumi sono stati scavati con un cortile a forma di V che crea spazi aperti verso il paesaggio naturale e tali per cui le due case non si contrappongano l’una con l’altra. Un secondo tema di progetto è stato quello della doppia simmetria: una linea di simmetria specchia le due case una sull'altra, e una secondo linea interna specchia ciascuna casa in due parti o ali, intorno al cortile (questa linea coincide con il colmo delle coperture). La simmetria interna rende autonoma e ordina ognuna delle due case, mentre la simmetria esterna ordina la coppia nell'insieme. In sezione, nonostante i due lotti abbiano una differenza di quota di circa due metri, i due tetti capovolti l’uno rispetto l’altro, permettono di avere una quota di gronda uguale e quindi fronti esterni con altezza costante. Dall'esterno la differenza di quota del terreno viene così assorbita dall'inversione dei tetti, evitando di avere il gemello alto e quello basso. In pianta, la forma a V del vuoto sotratto al volume della casa coincide con il ribaltamento in orizzontale della figura iconica della casa. Internamente la casa è invece chiaramente divisa in due parti, tagliata trasversalmente dallo spazio di distribuazione: la parte verso il giardino è dedicata alla sala e alla camera principale, con viste e usi diversificati articolati intorno al vuoto, mentre la parte verso la strada è occupata da spazi minori e di servizio. Il carattere delle due case è tendenzialmente neutro nella scelta materica e cromatica. Per identificare ciascuna delle due case abbiamo deciso di utilizzare mattoni con colori leggermente differenti, più chiari e più scuri, ma su tonalità di grigi. Lo scavo del patio è totalmente vetrato con infissi in metallo nero. Internamente, i pavimenti sono rivestiti in linoleum grigio, mentre le porte, le pareti e i soffitti sono tinteggiati di grigio chiaro. Per il momento, solo una casa è stata completata, e speriamo, come per i fratelli, che non rimanga sola

    Disassembly sequence planning (DSP) applied to a gear box: Comparison between two literature studies

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    This work aims to analyze the characteristics and importance that design techniques for disassembly assume in the modern design phase of a mechanism. To this end, the study begins by considering a three-dimensional model of a gear motor, taken from the components of which the overall drawings are arranged and from the relief of those not available. Once the mechanism has been digitally reconstructed, the activity focuses on the study of the optimal disassembly sequence by comparing different methodologies, according to two evaluation criteria-minimizing the time taken and minimizing the number of tool changes necessary to complete the sequence. The main results of the work are (1) defining a standard methodology to improve disassembly sequence planning, (2) finding the best disassembly sequence for the specific component among the literature and eventually new methods, and (3) offering to the industrial world a way to optimize maintenance operations in mechanical products. Referring to the limitation of the present works, it can be affirmed that the results are limited to the literature explored and to the case study examined

    Investigating slicing parameters in FFF for time and mass estimation: a statistical approach

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    Fused filament fabrication (FFF) is one of the additive manufacturing methods used to transform digital models cost-effectively into prototypes, mockups, and functional parts for industrial customized applications, mainly aerospace, automotive, and biomedicine. In an industrial standard design-to-manufacturing workflow, the slicing software is responsible for translating the digital model of the object into a set of instructions for the FFF machine. However, setting printing profiles for FFF machines is a painstaking process in the operative environment due to the long time needed to carry out the required tests and tuning phases. Moreover, the scientific literature needs to include the influence of digital model topologies on the more influencing manufacturing parameters. Thus, this paper proposes a reproducible methodology to understand how the choice of the manufacturing parameters affects the time estimation and mass of the production process. Through a half-factorial Design of Experiment approach, the manufacturing parameters that most significantly affect the time required are identified; furthermore, the methodology aims to suggest adjustments to enhance the accuracy of build time predictions in commercial slicing software. Several case studies in the paper provide empirical support for the findings, highlighting that proper configuration of commercial slicing software can substantially enhance manufacturing process accuracy. In particular, the results show that the best configuration cannot be chosen a priori since the topology of the component affects the optimal choice of parameters. Moreover, a rigorous statistical approach allows for producing functional components with excellent printing times and optimal material consumption, compared to a more random approach that may lead to non-functional components. The methodology suits the industrial environment where processes must be set up quickly with satisfying results

    Design for six sigma applied to the design of an innovative food processor

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    Nowadays technology is extensively used as aid for cooking activities and humans are relying on it for a wide range of tasks in their everyday life, making the cooking activity more effective, less time consuming and even accessible to less skilled people. The present work is a case study on the application of the Design for Six Sigma (DFSS) methodology that here is exploited for the realization of the so-called “food processor”. This device requires only electricity, it is able to cook, mix, chop up and steam, allowing the user to obtain tasty and well-controlled dishes through simplified procedures. The method used looks at what is already available on the market enabling to design an innovative product while fulfilling customer requirements. QFD analysis and Benchmarking analysis were used as a support for the method. The result of the research is the design of an innovative food processor, where the design procedure has been guided by DFSS methodology and has been implemented through Creo Parametric software

    Evaluation of 3D printed mouthpieces for musical instruments

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    Purpose: The purpose of this study is the evaluation of advantages and criticalities related to the application of addtive manufacturing (AM) to the production of parts for musical instruments. A comparison between traditional manufacturing and AM based on different aspects is carried out. Design/methodology/approach: A set of mouthpieces produced through different AM techniques has been designed, manufactured and evaluated using an end-user satisfaction-oriented approach. A musician has been tasked to play the same classical music piece with different mouthpieces, and the sound has been recorded in a recording studio. The mouthpiece and sound characteristics have been evaluated in a structured methodology. Findings: The quality of the sound and comfort of 3D printed mouthpieces can be similar to the traditional ones provided that an accurate design and proper materials and technologies are adopted. When personalization and economic issues are considered, AM is superior to mouthpieces produced by traditional techniques. Research limitations/implications: In this research, a mouthpiece for trombone has been investigated. However, a wider analysis where several musical instruments and related parts are evaluated could provide more data. Practical implications: The production of mouthpieces with AM techniques is suggested owing to the advantages which can be tackled in terms of customization, manufacturing cost and time reduction. Originality/value: This research is carried out using a multidisciplinary approach where several data have been considered to evaluate the end user satisfaction of 3D printed mouthpieces

    Surface smoothing for topological optimized 3D models

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    The topology optimization methodology is widely applied in industrial engineering to design lightweight and efficient components. Despite that, many techniques based on structural optimization return a digital model that is far from being directly manufactured, mainly because of surface noise given by spikes and peaks on the component. For this reason, mesh post-processing is needed. Surface smoothing is one of the numerical procedures that can be applied to a triangulated mesh file to return a more appealing geometry. In literature, there are many smoothing algorithms available, but especially those based on the modification of vertex position suffer from high mesh shrinkage and loss of important geometry features like holes and surface planarity. For these reasons, an improved vertex-based algorithm based on Vollmer’s surface smoothing has been developed and introduced in this work along with two case studies included to evaluate its performances compared with existent algorithms. The innovative approach herein developed contains some sub-routines to mitigate the issues of common algorithms, and confirms to be efficient and useful in a real-life industrial context. Thanks to the developed functions able to recognize the geometry feature to be frozen during the smoothing process, the user’s intervention is not required to guide the procedure to get proper results

    Maintainability approach: Hydraulic pump with external gears explored with design for disassembly and augmented reality

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    The work carried out has the purpose of improving and optimizing various industrial technical operations, such as preventive maintenance, taken here as an example of application, using the Design for Disassembly (DfD) technique. Therefore, through four metaheuristic methods that have been chosen among the most widespread in the field (described below) to make a comparison between them, the optimal disassembly sequence is sought, if it exists, in terms of time and then costs in order to extract a target component without damaging the other mechanical parts of the assembly. The hypothesis that has been tested throughout this case study is “a responsible application of DfD, not only from the design process of a product but also during the disassembly procedure, can bring substantial benefits to the company”. Interaction with a hypothetical operator in charge of the work to be performed is implemented with the use of augmented reality. In fact, through an application programmed for an Android device (in this case, a mobile phone, hence a handheld device), the operator can be instructed step-by-step on the disassembly sequence in dynamics as an animation. Finally, two virtual buttons were added in augmented reality with which the operator can start and pause/resume the animation at any time to facilitate the understanding of the different steps established by the sequence

    Voxel-based evolutionary topological optimization of connected structures for natural frequency optimization

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    The topology optimization methodology is widely utilized in industrial engineering for designing lightweight and efficient components. In this framework, considering natural frequencies is crucial for adequately designing components and structures exposed to dynamic loads, as in aerospace or automotive applications. The scientific community has shown the efficiency of Bi-directional Evolutionary Structural Optimization (BESO), showcasing its ability to converge towards optimal solid-void or bi-material solutions for a wide range of frequency optimization problems in continuum structures. However, these methods show limits when the complexity of the domain volume increases; thus, they are well-suited for academic case studies but may fail when dealing with industrial applications that require more complex shapes. The connectivity of the structures resulting from the optimization also plays a fundamental role in choosing the best optimization approach, as some available commercial and open-source codes nowadays return unfeasible sparse structures. An improved voxel-based BESO algorithm has been developed in this work to cope with current limits in lightweight structure optimization. A significant case study has been developed to evaluate the performances of the new methodology and compare it with existing algorithms. In contrast to previous studies, the method we developed guarantees that the final structure respects constraints on the initial design volume and that the structure’s connection is preserved, thus enabling the manufacturing of the component with Additive Manufacturing technologies. The proposed approach can be complemented by smoothing algorithms to obtain a structure with externally appealing surfaces
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