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Marcantonio Catelani, Lorenzo Ciani, Matteo Venzi
Maintainability Allocation assessment in complex systems

High maintainability becomes a fundamental requirement of most manufacturing products and system maintainability performance represents a key factor in many manufacturing fields. The paper focus on a procedure to obtain maintainability requirements of a complex system and compares the methods to achieve the best fitting. The first part of the paper focuses on maintainability allocation procedures: failure rate-based allocation method, trade-off of failure rate and design featurebased allocation method, fuzzy maintainability allocation based on interval analysis and time characteristic-based maintainability allocation models. The second part shows a case study on a generic system containing a redundant architecture with three different MTTR objective of the overall system in order to test the proposed method.

Timotei István Erdei, Zsolt Molnár, Nwachukwu C. Obinna, Géza Husi
A Novel Design of an Augmented Reality Based Navigation System & its Industrial Applications

The paper proposes a design of an augmented reality based navigation system, as well as investigate its potential areas of application within the industry. With the ascent of industry 4.0 (IoT), systems such as Augmented Reality (AR) and Virtual Reality (VR) benefit from the availability of bulk sensory data.

Zoltán Rózsás, Zsolt Szalay
Extension of telemetry system

The most important problem of electric vehicles is the energy storage. Currently the system components are ready for mass production, the cost of energy storage, and energy density is limited by the capacity of these types of vehicles. The present study aimed to implement a battery monitoring system in to an F2000 electric formula car. Based on the real-time monitoring capability, the control system can continuously check the voltage of the battery. Monitoring of battery systems is a critical importance to maintain reliable operation of electric vehicles. In addition of fault diagnosis the charge of the battery, the status of the battery cells, measure of the load (current consumption) and also the load variation in time (peaky, constant) can be monitored real-time.

Imre Paniti, Zsolt János Viharos
Fracture diagnostics for Single Point Incremental Forming of thin Aluminium alloy foils

Nowadays many industrial sectors, as automotive or aeronautic industry, use forming processes in order to produce sheet metal components. The most widely used are the stamping process and deep drawing, based on big and costly dies and presses.
A specific application, the Single Point Incremental Forming (SPIF), for sheet metal forming will be discussed in this paper. Force estimation on AlMn1Mg1 sheets with 0.22 mm initial thickness is performed by continuous monitoring of servo motor currents. The aim of this research work is to apply a nontraditional force monitoring on Aluminum alloy foils and detect fracture.

Zoltán Rózsás, András Háry, Zsolt János Viharos
Multivariable Process Modell For Complex Vehicle Systems Under Extreme Load Environment

Vehicle industry is facing two megatrends nowadays: alternative drives and autonomous vehicles. Extreme loads have crucial importance inside these trends, too. Unforeseen events happening in real life can be considered as special form of extreme loads, this is the key novelty of the paper together with the presentation that the classical 6 sigma approach applied typically e.g. in production environments can be used to describe this special form of extreme loads. Various examples represent the applicability of this proposed concept like extreme loads at vehicles of heavy weight & low speed (tractor), light weight and high speed (formula car) and autonomous vehicles. Finally, a concrete vehicle route in a city was analyzed with evaluation of unforeseen events highlighting the advantages of the proposed concept.

Domenico Capriglione, Marco Carratù, Paolo Sommella, Antonio Pietrosanto
ANN-based IFD in Motorcycle Rear Suspension

Semi-active suspension control needs to measure the relative velocity of the wheels respect to the vehicle body to regulate the damping forces. Linear potentiometers are the most used sensors in racing for linearity and simplicity, but they suffer of wear and tear and aging higher than the other sensors involved in the control loop. As a consequence, to save the efficiency and the effectiveness of the suspension control strategy, an Instrument Fault Detection (IFD) system able to detect the faults occurring on such a sensor should be adopted. In this framework, the paper proposes a IFD scheme based on the analytical redundancy existing among the quantity measured by the rear suspension sensor and the other quantities involved in a typical suspension control loop. In other words, the fault detection is made by comparing the actual sensor output with the expected one provided by a “soft” sensor. In particular, the soft sensor has been implemented by suitably designing and tuning a Nonlinear Auto-Regressive with eXogenous inputs (NARX) network which is able to take into account for the system nonlinearity. Experimental results have proven the good promptness and reliability of the scheme in detecting also “small faults” (e.g. due to slight variations of the input/output sensor curve).

Patrick Scholz, Daniel Peters, Florian Thiel
Security Concepts for Software in Measuring Instruments

In the age of the Internet of Things and Industry 4.0, more and more embedded systems are connected through open networks, which also concerns measuring instruments under legal control (e.g. smart meters). Therefore, cyber-security for measuring instruments is becoming increasingly important. In this paper, possibilities to design secure measuring software running on general-purpose operating systems are analyzed according to legal requirements set up by European Directives, e.g., the Measuring Instruments Directive (2014/32/EU), which define the mandatory security level. Concrete security concepts for Windows (Mandatory Integrity Control) and Linux (SELinux and AppArmor) are described.

Giorgio Padula, Veruscka Mannoni, Cinzia Gesumundo, Oronzo Panico, Maria Rosaria Milana
Measurements of Formaldehyde Migrated from Food Contact Tableware into Simulants for Acidic Foods: Calculation of Uncertanties of The "Chromotropic Acid" Method

The amount of Formaldehyde migrated in food simulant from food contact tableware must be measured to verify compliance to the legal limit. “Chromotropic acid” method is frequently used. Expanded uncertainties must be calculated taking into account the contributions of the different steps of the method.

Veruscka Mannoni, Cinzia Gesumundo, Silvia Giamberardini, Giorgio Padula, Maria Rosaria Milana
Food Contact Articles: Impact Of Uncertainty Contributions In Compliance Testing

Food contact articles must be compliant to applicable regulations on food safety. In the migration testing different sources of uncertainties can be characterized. In a case study on disposable gloves the contributions to the uncertainties to the final results are analysed.

M. Tomassetti, R. Angeloni, M. Castrucci, E. Martini, L. Campanella
Ethanol Content Determination in Beers, Wines, and Hard Liquor Drinks Using a Catalytic Fuel Cell. Comparison with other two Conventional Enzymatic Biosensors: Correlation and Statistical Data

A catalytic fuel cell has been employed to check ethanol content in several samples of commercial wines, beers and hard liquor drinks. Two other conventional biosensors, based on catalase or alcohol oxidase enzyme, were also used, to the same purpose, on the same samples. Data obtained by three sensor methods have been compared and correlated. Lastly t-test and F-test were applied.

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