Week 2
Tire Manufacturing and Production
4 days, June 15, 16, 17, 18, 2021


Preliminary Conference Program

Technical and Efficiency Developments in Tire Building and Mixing

Full integration project between factory MES and tire rubberizing calender line

Mario Sacchi
R&D chief technology officer
Comerio Ercole SpA
Italy
With the introduction of Industry 4.0, the automation and control level of rubber calendering lines has increased. The number of sensors and controls allows a step forward: automatic production management that can show production status and record technological data and process efficiency; improve line profitability with more efficient production scheduling, automatic loading of production recipes and maintenance optimization; prevent possible human errors in raw materials and semi-finished product management; show and indirectly suggest any areas for production process improvement. Comerio Ercole will present a project to integrate a rubber calendering line in the MES available in tire factories.

Role of secondary structure in filler dispersion network density and rolling resistance

Dr Dr Soumen Chakraborty
Director, Carbon Black Division
Himadri Speciality Chemical Ltd
India
Secondary structure is generally measured through Oil absorption value, has major role in wettability of polymer during initial stage of mixing and have positive impact if the value is higher. Quantification of this measurement has been done through the dispersion by conductivity measurement and very high resolution optical tools indicates that higher the secondary structure, possibility of better dispersion and hence enhanced network density and rolling resistance properties.

Improvement of tire compounds by fine mesh straining

Manuel Bessler
General manager sales and project management
UTH GmbH
Germany
Requirements for tire compounds have been continually growing for the tire industry during the past few years, while the pressure to contain costs has significantly increased. Many tire manufacturers have recognized that fine mesh straining of master or final batch improves the quality of the tire compounds by filtering impurities and non-mixed ingredients, with a positive effect on the manufacturing process. The Roll-Ex gear extruder technology allows particularly gentle straining and extrusion of tire compound in the mixing line with output rates up to 10,000kg/h and the use of extremely fine screens.

Tire production with vitamin E

Dr Dr Reza Limoochi
Head of R&D materials
Iran Tire Company
Iran
Alpha-tocopherol is a type of vitamin E and very useful for the human body. It is also very useful for green tires and eco-friendly compounds, and for lubrication during the mixing stage of tire compounding, without any hazardous materials, fumes or PCA. It also has anti-oxidation and degradation effects. This presentation will outline the advantages of applying this material to create vitaminized, eco-friendly tires.

Tire Building and Tire Building Component Manufacturing

The value of flexibility

Jan Grashuis
VP global product management
VMI Group
Netherlands
Recent years have seen an ever-increasing number of tire specifications that have to be managed by tire factories. It is challenging to keep the output at required levels, while batches get shorter and more size changes have to be made at every step of the process. This requires flexible solutions so that equipment can produce at the lowest cost per tire in smaller production runs. In this talk, VMI discusses the value of new, flexible solutions that enable a new approach to inventory management, demand planning and reduction of waste.

Innovative bonding preparation in tire applications with laser

Jan Sommer
Team leader sales in laser applications
Clean-Lasersysteme GmbH
Germany
Clean-Lasersysteme was the first supplier of automated and hand-guided tire mold cleaning systems. Various customers worldwide use this technology today. For years, the laser has also been used for the adhesive pretreatment of the inner tire for bonding of sensors. The process was developed in cooperation with Continental Hannover. Furthermore, the complete inner tire can be pretreated (innerliner cleaning), for example for noise insulation or penetration sealing. The benefits are that it is a dry method with reproducible results and compact, flexible technology. A suitable processing system, as well as further applications around the tire, will be presented in the lecture.

Enhanced tire mold cleaning process with Cold Jet

Ahmet Erdogan
Key account manager
Cold Jet GmbH
Germany
Cleaning of tire molds is an essential part of the production process. Learn how you can control your cleaning process with Cold Jet as a system solution provider for automated and manual applications. Clean and safe with PCS and ASP-T.

Tire forensic analysis

Zoran Markovic
Business development and technical manager
ZC Rubber
China
This session will describe tire failure modes on radial and bias tires for various applications, including their potential causes, identification and the sometimes subtle nuances that go along with determining tire failure. The session will be helpful for investigators and individuals who need to explore and explain tire failures and point out the contributory factors. It will help to clarify failure root cause between tire production process deviation, tire design and service application, and explain the most common problems/issues related to tire handling.

Clean cooling for your tire manufacturing process

Thomas Bartmann
Head of sales
Efficient Energy GmbH
Germany
Companies increasingly need to focus on climate-friendly solutions for their production processes. This presentation shows you an easy way to save CO2 emissions and energy costs with clean cooling. Clean cooling means the use of natural refrigerants to cool down your processes and machines in production. We reveal plenty of benefits of using these new cooling technologies – such as using water as a refrigerant – that save money as well as our planet, and can drive your success.

Temperature Scanning Stress Relaxation: challenges and opportunities for rubber analysis

Marcin Sęk
PhD student
University of Twente / Apollo Tyres Global R&D B.V
Netherlands
Analysis of the cross-link density and cross-link structure of rubber vulcanizates is a crucial issue. The Temperature Scanning Stress Relaxation (TSSR) technique has been developed for this practical analysis with a solventless system. This presentation reports recent results measured by TSSR with an emphasis on challenges and opportunities for measurement.

Determination of the critical gel and optimization of vulcanization process

Michele Scacchi
Field applications engineer
Alpha Technologies UK
Italy
The blow-point transition of rubber compounds is investigated by rheological techniques during curing. Oscillatory shear experiments and cavity gap thickness determination are performed during isothermal curing. Rheological measurements reveal that the initial stages of cross-link formation produce a sol-gel transition. In this study we show that the formation of a polymer network at the critical gel point is strictly related to the thermal curing history independently of the type of rubber. We observed that times corresponding to the sol-gel transition at different temperatures are characterized by the same degree of curing and by the same die-gap variation.

IOT, Digitisation and Smart Factories

Make better operational decisions to enable flexibility in your tire

Bill Henderson
USA tire head
Siemens Industry Inc
USA
Leverage technology to manage your uptime by correlating the manufacturing process models with your operational quality data to modify your manufacturing process in real time. Using real-world inputs and cloud interfaces, you can leverage the data you already have in your process to optimize your production. This presentation will discuss augmented solutions for your current control system with cloud-based and cloud-enabled technologies to capture production data and optimize ongoing processes. With the latest in automation technology coupled with digital assets, you can participate in the digital transformation of the tire industry now, and futureproof your manufacturing processes.

Tire manufacturing – making the most of Sensorik 4.0

Andreas Morbitzer
Key account manager - tire industry
Pepperl+Fuchs Vertrieb Deutschland GmbH
Germany
Today, the key to success is the intelligent combination of a large number of various field data, their direct integration and timely availability. Tire manufacturing is now able to leverage intelligent sensor data across all information levels. Sensorik4.0 offers a broad range of smart field devices including proximity switches, photoelectric sensors and RFID. At the same time, new opportunities for transmitting data have been introduced in industry, such as IO-Link, OPC UA and MQTT. For the tire industry, these standards offer a wide range of new advantages. The presentation will include conceptual and practical solutions for the tire industry.

Smart Material Handling, Dosing and Process Control

Integrated and intelligent tire factory

Ashutosh Chincholikar
CEO
Smart Controls India Limited, Member of Zeppelin Group
India
We all know that tire manufacturing is a discrete type of manufacturing industry where the link between machines and product is filled by people. This imposes tremendous challenges in running the plant efficiently and smartly. To overcome these challenges, Industry 4.0 along with data science has to be adapted so that machines talk directly to machines and the product tells the machine how to process it. Each product or batch has to closely resemble the ‘golden batch’, maintaining consistent quality. Data science plays a big role in terms of machine learning for constantly improving the end product.

How to get the most out of tire manufacturing plant simulation

Dr Gert Nomden
Digital factory consultant
Cards PLM Solutions BV
Netherlands
The use of material flow simulation tools is slowly becoming the standard in the tire manufacturing industry. These tools should be part of the complete tire plant lifecycle, to continuously optimize plant performance. This can be achieved by using simulation libraries that are prepared for IoT and ready to integrate with commonly used systems, such as a PLC and MES. We will give an overview of the possible uses of material flow simulations in tire manufacturing. Additionally, we will give practical guidance on how to make these simulations fit for the complete lifecycle of a tire plant.

Intelligent Tires – Logistics, Sensors and RFID

RFID enhancing traceability, efficiency and safety throughout the tire lifecycle

Jerome Barrand
Tire ID program leader, connected mobility services
Michelin
France
RFID tags embedded in tires ensure reliable tire identification (unique, unfalsifiable and permanently readable during the entire tire lifecycle). By associating tire ID with its digital twin, Michelin makes tires that ‘communicate’ by linking them to a more global ecosystem, to create infinite potential for innovations and added value for customers, sustainably. While Michelin continues to foster market adoption of RFID, discover how the technology can improve efficiency and enhance quality and trust throughout tire lifecycle: for tire manufacturers, country authorities, OEMs, dealers, end users and for end-of-life treatment.

Application of intelligent tires in vehicle parameter estimation

Rajvardhan Nalawade
Research assistant
Center for Tire Research, Virginia Tech
USA
Utkarsh Gupta
Research assistant
Center for Tire Research, Virginia Tech
USA
Virtual sensing of roads using accelerometers inside the tire is being actively explored in the tire and automotive industries, owing to its multitude of applications and advantages. In addition to characterizing road surfaces and their conditions, the virtual sensing of the tire-road interaction can be leveraged to understand the current state of the vehicle. At the Center for Tire Research (CenTiRe), we have successfully developed and implemented data-driven algorithms for estimating tire normal load, vehicle velocity and characterizing the structure-borne noise due to tire-pavement interaction. Estimating such parameters using advanced data processing is a stepping stone toward accurate control algorithms and increased safety of vehicles. In this presentation we will explore these estimation algorithms.

Improving the active safety of vehicles by developing smart tires

Dr Amirhossein Shahdadi
Expert in technology innovation and digitization
Barez Industrial Group
Iran
The need to develop new technologies in different fields of engineering is steadily growing. The purpose of this paper is to demonstrate the use of a special kind of tire known as a smart tire. A focus on improving the active safety of transportation and also the emergence of concepts such as the Internet of Things (IoT) have driven tire industries to produce this tire. Smart tires mainly consist of different sensors and continuously evaluate various parameters like pressure and temperature. These sensors constantly monitor the performance of the tire and send information to the consumer.

Improved technology for tire identification from production to final destination

Giuseppe Centola
Product marketing leader industrial automation
Datalogic Srl
Italy
The presentation will provide an overview of the latest technologies to meet today’s challenging demands for seamless tire identification and full traceability. It will show how innovative solutions enable full visibility throughout all production processes, into the warehouse and alongside distribution up to the final destination.

Real-time prediction of road grip using AI and lidar

Koen Reybrouck
General manager
Reycon BV
Belgium
AI and sensor fusion on a XenomatiX XenoTrack lidar are used to measure and estimate the road surface properties (asphalt, concrete, pavement, etc), attributes (potholes, road markings, repairs, etc) and condition (dry, wet, snow, etc). This information is combined with a tire model to predict the tire grip levels ahead of the vehicle, while driving. This presentation discusses the measurements, training and validation of the AI algorithms, prediction results and the potential applications in AV path selection and advanced chassis system controls.
Please note: this conference program may be subject to change