Magneto-dynamic loudspeakers have been used for decades as the primary transduction method for transforming an electric signal into acoustic pressure. One of the most important aspects when designing a quality loudspeaker is to try to minimise distortion, usually primarily caused by two factors: mechanical nonlinearities and electromagnetic nonlinearities. The latter finds one of its core causes in the change of inductance as a function of the coil excursion within the air gap. This unwanted effect can be reduced and kept under control through the use of demodulation rings or copper caps.
In this paper, a thorough FE simulation of this phenomenon will be carried out with the use of COMSOL Multiphysics. 2D axisymmetric simulations were chosen for their efficiency over 3D simulations. For the scope of this analysis, a 15 inch neodymium woofer was chosen as the loudspeaker under test.
FMI: an enabling technology for digital twin development
Filippo Furlan, EnginSoft SpA
The FMI (Functional Mock-up Interface) is a standard that provides a set of interfaces for model exchange and co-simulation of dynamic models across different tools. It is an important task for designing, testing, and integrating different domain parts to describe the behavior of the overall system. The main advantages of this approach are to (i) identify potential issues with real machine counterpart throughout the life of the machine; (ii) enable advanced strategies for compensating for decreased performance without slowing or stopping production; (iii) represent a way for the integration of a real-time implementation of the Digital Twin (high-fidelity models) since it can be run in-line with the real machine; (iv) accelerate commissioning process, reduce risks and decrease costs.
In this talk, after an introduction of the FMI and Digital Twin technologies we present a case study regarding the use of FMI capabilities available in MapleSim thought the MapleSim Connector for FMI.
Modelling of a whole oven in its kitchen furniture to lower down the front door temperature in different operating conditions
Vincenzo Colozzo, Electrolux Major Appliances Europe
The aim of the activity is to optimize the reviewed cooling system of an area of an oven for domestic use to obtain lower front door temperature for customer safety during oven operation especially during the self-cleaning cycle when the cavity reaches about 450°C. At the same time the cooling system has to perform the cooling of the kitchen furniture to preserve it during lifetime and the cooling of all the functional parts like electronics and components. To perform this investigation a whole oven installed in its kitchen furniture has been modeled. All the loads (heaters) have been modeled together the ventilation system (cooling and oven cavity heat distribution) and radiation has been included in the energy equations as well. At the same time a prototype of the real oven has been prepared to align the virtual model.
The first run has the scope to validate the model and give the general overview of the area where to concentrate the investigation.
In consequence of that a detailed 3D analysis on the cooling system has been performed to optimize the geometry and air intake configuration to optimize it.
In the end the best cooling assembly have been verified first in the virtual prototype and then in the real oven. Target has been finally reached and confirmed by advanced prototype.
ACTIVE Digital Manufacturing oriented to Zero Defects Manufacturing and Predictive Maintenance
Nicola Gramegna, EnginSoft SpA
Digital Transformation is an integrated approach to transform traditional and modern manufacturing methods into more efficient processes. The related digital scenario considers the usage of a Cyber Physical System (CPS) where all the machines are interconnected and every product have its own intelligence, storing various pieces of information, such as customer configuration, destination and production data.
The big amount of acquired data from sensors, devices and machines can be used to train smart cognitive systems that increase productivity, ensure less waste, and allow significant cost savings
The know-how of the production process is based on complex correlations between setup, signal and quality indexes creating the real-time Quality prediction model.
With those elaborated data, another important task that can be implemented is the Predictive Maintenance, considering the main two different faces of the process: predict risk of failure (looking back) and apply controls to predict imminent issues (looking forward).
So data can be transformed into intelligent production lines that don’t stop when a given station or machine interconnected fails: human, products and machines can work together to re-act, apply autonomously safe corrections and re-plan the production process.
Improving the performances of agricultural equipment using simulation
Nicola Petrone, University of Padova | Natalino Dorigutto, Maschio Gaspardo SpA | Fabiano Maggio, EnginSoft SpA
The world of the agricultural equipment extends from simple implements to large and complex self-propelled machines. While the latter have always been treated with automotive standards in terms of research and development, for the low to mid end products the objectives have constantly been short times to market and effective cost-saving measures, even at the expense of final quality.
Maschio Gaspardo wants to disprove this paradigm, showing that the implementation of advanced technologies (like in-depth FEM analyses) for agricultural machines is feasible and convenient even on products previously overlooked, leading to improved performances.
To do this, a partnership has been established with the University of Padova: the pilot project of this cooperation will be presented in this paper. Focused on sprayer booms, the study will show the steps leading to a revised and improved version of these components, used to spray chemicals on fields and crops and therefore crucial for the safety of the environment and the quality of the harvest.
Structural optimization of a component for the power transmission of a Formula-SAE car
Giovanni Meneghetti, University of Padova | Fabiano Maggio, EnginSoft SpA | Federico Andrea Bologna, EnginSoft SpA| Adriano Bernardi, Sisma spa
This research project aims at fully exploiting the potential of Additive Manufacturing technologies in the re-design of a component of the FSAE UNIPD car transmission. By using the topological optimization program Genesis GTAM®, a geometrical configuration has been defined, followed by a second-step optimisation phase performed by using MODEfrontier in conjunction with Ansys Workbench. Mass minimisation while maintaining static as well as fatigue strength were the objective and the constraints, respectively. Further to the design phase, the component will be additively manufactured. Finally, the prototype will be tested at the test bench at the University of Padova by applying the spectrum loading acquired in the track.
Fatigue and vibration analyses of a chainsaw using a design chain approach
Paolo Verziagi, Emak SpA | Antonio Lauciello, Emak SpA
This work presents how MapleSim and ANSYS WorkBench have been successfully integrated within EMAK design chain for fatigue and vibration analyses, exploiting the best in class features of both modeling and simulation tools. The chainsaw design starts with a multibody model created in MapleSim, that allows to learn about the excitings of the engine during the operating cycle at counter. All the peculiarities of the 2T engine have been modeled.
The N resulting excitings are collected and then analyzed with a template in Maple to reduce the frequency content through the DFT study; a time reconstruction is also performed to verify that the new signal is consistent with the original one exporting it to an appropriate format. In ANSYS WB a model of the machine has been created trying to validate experimentally all of its aspects (modal shapes, rigidity, damping). An harmonic analysis is performed using N excitings with Maple, followed by a‘rainflow’ calculation on all components involved in fatigue study.
Integrated multi disclipinary tool to design roller coasters
The design of a Roller Coaster merges the complexity that can be found in the design of an industrial automatic machinery line with the peculiarity of the big civil steel structures. It involves people with different roles and skills that must work together in the same project at the same time with the logic of concurrent engineering.
With the purpose of increase the product quality, minimizing mistakes through the design process and reducing the lead time of the design, Zamperla has developed a multi disciplinary tool that integrates the different design phases.
This paper describes the design process that can be summarized in its three big phases: the design of the track path involving a 3D CAD complex modelling, the determination of the relative kinematics and dynamics by means of a Multi-Body approach, and the design of the track and columns structures through a FEM structural analysis fatigue oriented.