Technology trends in the digitalization era. ANSYS Innovation Conference Bologna, Italy June 13, 2018 Michele Frascaroli Technical Director, CRIT Srl

Size: px

Start display at page:

Download "Technology trends in the digitalization era. ANSYS Innovation Conference Bologna, Italy June 13, 2018 Michele Frascaroli Technical Director, CRIT Srl"

Barbra Owens
5 years ago
Views:

1 Technology trends in the digitalization era ANSYS Innovation Conference Bologna, Italy June 13, 2018 Michele Frascaroli Technical Director, CRIT Srl

2 Summary About CRIT Top Trends for Emerging Technologies The Fourth Industrial Revolution The Smart Manufacturing Technologies Conclusions

3 About CRIT

4 Profile We support enterprises in their innovation processes CRIT is a private company specialized in the research and analysis of technical and scientific information and in the development of research project activities CRIT fosters the dialogue among enterprises on issues related to problems and relevant technical, organizational and logistic solutions, through the sharing of best practices and the organization of dedicated benchmarking activities CRIT was born in 2000, when some of the most important enterprises of Emilia-Romagna region decided to subscribe a common action aiming to improve their innovation processes

5 Shareholder Companies

6 Network of Endorsed Suppliers

7 Fostering Innovation CRIT offers services for innovation to enterprises and associations, even for those external to its network. Services created by CRIT enable enterprises to realize a more effective innovation process, saving time and resources TECHNOLOGY SCOUTING helps the selection of both technologies and technology partners most suitable to develop innovation CRIT SERVICES RESEARCH DEVELOPMENT MARKET COLLABORATIVE TECHNOLOGY COLLABORATIVE INNOVATION supports INNOVATION SCOUTING INNOVATION the transfer of knowledge helps DEVELOPMENT the selection of supports between the transfer the of enterprise both facilitates technologies and knowledge and external the process between subjects the which technology brings the partners idea to enterprise and external INNOVATION most a suitable final DEVELOPMENT product to develop subjects facilitates the innovation process which brings the idea to a final product

8 Top Trends for Emerging Technologies

9 Top Trends in the Gartner Hype Cycle for Emerging Technologies, 2017

10 Top Trends in the Gartner Hype Cycle for Emerging Technologies, 2017 AI technologies will be the most disruptive class of technologies over the next 10 years due to radical computational power, near-endless amounts of data and unprecedented advances in deep neural networks Human-centric technology Technology is evolving from compartmentalized technical infrastructure to ecosystem enabling platforms. Businesses must think about how to create platform-based business models and what technology is needed to support that move

11 Accenture Technology Vision 2018 Intelligent Enterprise Unleashed Five technology trends shaping the future of business Source: Accenture

12 Tech Breakthroughs megatrend The Essential Eight technologies that matter now Source: PwC -

13 The Fourth Industrial Revolution

14 The Fourth Industrial Revolution

Cyber-Physical System (CPS) IT system able to interact continuously with the physical system in which it operates System composed of physical elements each having computational capabilities

15 Cyber-Physical System (CPS) IT system able to interact continuously with the physical system in which it operates System composed of physical elements each having computational capabilities 5C 1. Connection (connectivity) 2. Conversion (data to information) 3. Cyber (digital twin) 4. Cognition (decision) 5. Configuration (feedback)

16 Volume of production New challenges from the market Increasing complexity Small baches Reduced Product Life Cycle Increasing personalization Reduced delivery times Variety of products

17 The Smart Manufacturing Technologies

18 The Smart Manufacturing Technologies Industrial IoT & Cloud Big Data Digital Manufacturing Additive Manufacturing Industrial IoT & Cloud Big Data Advanced HMI Advanced Automation Additive Manufacturing Advanced Automation Smart Manufacturing Technologies Digital Manufacturing Advanced HMI

19 Expected Benefits and Value Proposition Quality Flexibility Personalization Productivity Automation Energy Saving Reliability User Experience Additive Manufacturing Advanced Automation Industrial IoT & Cloud Smart Manufacturing Technologies Advanced HMI Big Data Digital Manufacturing

20 The Smart Manufacturing Technologies Industrial IoT & Cloud Industrial IoT & Cloud Smart and connected obiects Additive Manufacturing Big Data Smart Manufacturing Technologies Advanced Automation Digital Manufacturing Advanced HMI

21 The Smart Manufacturing Technologies Industrial IoT & Cloud Big Data Additive Manufacturing Smart Manufacturing Technologies Big Data Methodologies and tools for big data analysis Advanced Automation Digital Manufacturing Advanced HMI

Big Data Artificial Intelligence (AI) AI is the study and design of intelligent agents An agent is a computer program (software or hardware) An intelligent agent is an agent

22 Big Data Artificial Intelligence (AI) AI is the study and design of intelligent agents An agent is a computer program (software or hardware) An intelligent agent is an agent capable of perceiving, thinking and acting An intelligent agent is rational if it does the right thing, given what it knows Agents can improve their behavior through learning

23 Big Data Artificial Intelligence Machine Learning: barriers to entry have been greatly lowered Deep Learning: it is revolutionizing the industry pushing far beyond the frontiers of what it is possible to do with Machine Learning

Detection Speech Recognition, Face Recognition Natural Language Processing,

24 Big Data Deep Learning Object detection and localization (Convolutional Neural Network) OCR e Handwriting recognition Pedestrian Detection, Traffic Sign Detection Speech Recognition, Face Recognition Natural Language Processing, Language Translation Medical Image analysis Recommendation systems Games (Atari, AlphaGo)

That would take the average American driver over 300 years to

25 Big Data Autonomous Vehicles Since 2009, our fleet has self-driven more than 6 million miles, mostly on city streets. That would take the average American driver over 300 years to complete. This builds on 2.7 billion miles we drove in simulation in 2017 alone. Waymo

26 Big Data New opportunities for advanced manufacturing Generation of knowledge as basis for decision support Observation of value streams for simple monitoring or for the detection of anomalies Prediction of happenings New kinds of diagnosis possibilities KPI optimization

27 The Smart Manufacturing Technologies Industrial IoT & Cloud Digital Manufacturing Additive Manufacturing Smart Manufacturing Technologies Big Data Tools for creating virtual models and advanced simulation Advanced Automation Digital Manufacturing Advanced HMI

28 >1960 Digital Manufacturing Virtual Modelling and Simulations for Smart Manufacturing and Digital Twin Simulation tools Static tool addressing specific design and engineering issues (fluid dynamics), CNC, robotics >1985 Individual applications Simulation limited to specific topics (mechanics) >2000 Simulation-based system design Systemic approach to multi-level, multi-physics systems. R&D and Engineering Digital Twin concept Simulation along whole product lifecycle (linked to operation support, link with data) >2015 Service-driven business models Manufacturing operations, Services Increasing level of Complexity From Product to Cyber Physical Systems (CPS) Manufacturing: new processes, human-robot collaboration and materials to be simulated Pervasive Computing & New Hardware Advanced, graphic-friendly visualization (Augmented/Virtual Reality) Increasing computational power and info exchange (cloud services) From simple CAD to integrated Virtual Product Development & CAE End-to-end Product Lifecycle Management (PLM) and CAE platforms Multi-physics, i.e: fluid-structure High Performance Computing (HPC) IoT, AI Data analytics and MBSE for Digital twin

29 Digital Manufacturing Virtual Modelling and Simulations for Smart Manufacturing and Digital Twin Source: LoginWorks Source: NASA Source: GE

30 Digital Manufacturing Virtual Modelling and Simulations for Smart Manufacturing and Digital Twin IoT Augmented & Virtual Reality Digital Twin Cloud Prognostic & Health Monitoring Big Data & Analytics Source: Deloitte University

Manufacturing Operations Design: CAD, CAE, FEA, CFD, HPC, Virtual Reality (VPD),

Ergonomics, Human-robot Collaboration Operations: Available field data Opportunity

31 Digital Manufacturing Virtual Modelling and Simulations for Smart Manufacturing and Digital Twin Design Manufacturing Operations Design: CAD, CAE, FEA, CFD, HPC, Virtual Reality (VPD), multi-body dynamics Manufacturing: Virtual Commissioning, Additive Manufacturing, Ergonomics, Human-robot Collaboration Operations: Available field data Opportunity Condition Monitoring Re-design (Improve the physical asset design) Predictive Maintenance

32 The Smart Manufacturing Technologies Industrial IoT & Cloud Additive Manufacturing Big Data Smart Manufacturing Technologies Advanced HMI Advanced Automation Advanced HMI Digital Manufacturing New model for human/machine interaction

33 Advanced HMI Virtual Reality (VR) Augmented Reality (AR) Mixed Reality (MR)

34 Advanced HMI Source: Wayray

35 Advanced HMI Voice and Face Recognition Wide Touch Panels Passengers Enterteinment Gesture Recognition Source: Byton

36 Advanced HMI Source: Tetra Pak Source: SCM Group

37 Advanced HMI Brain-Machine interaction Source: Neurable Source: MIT

38 The Smart Manufacturing Technologies Industrial IoT & Cloud Advanced Automation Additive Manufacturing Smart Manufacturing Technologies Big Data Robotics, control and inspection systems, cognitive, adaptive and re-configurable systems Advanced Automation Digital Manufacturing Advanced HMI

39 Advanced Automation COBOTS

40 Advanced Automation Advanced Robotics Exoskeleton Hand and Wrist Prosthes Rehabilitation Platforms Etc. Source: IIT Source: Ekso & FORD

41 Advanced Automation Humanoid Robotics Source: Boston Dynamics Source: Ekso

42 Advanced Automation Humanoid Robotics Source: IIT

43 Advanced Automation Sony AIBO Source: Sony, CNN Tech

44 The Smart Manufacturing Technologies Industrial IoT & Cloud Additive Manufacturing Big Data Smart Manufacturing Technologies Additive Manufacturing Advanced Automation Advanced HMI Digital Manufacturing Growing threedimensional objects one layer at a time from digital design

Additive Manufacturing ASTM definition of Additive Manufacturing (AM) process: a process of joining materials to make objects from 3D model data, usually

45 Additive Manufacturing ASTM definition of Additive Manufacturing (AM) process: a process of joining materials to make objects from 3D model data, usually layer upon layer, as opposed to subtractive manufacturing methodologies. Source: International Committee F42 for Additive Manufacturing Technologies, ASTM

Advantages Technological Benefits Greater freedom in design: Design for

achievable with traditional techniques Lighter items: less use of raw

specific quality controlled materials Source: Avio Aero.

46 Advantages Technological Benefits Greater freedom in design: Design for functionality VS Design for manufacturability Complex geometries: not achievable with traditional techniques Lighter items: less use of raw materials (Design for light weighting) New materials: ad hoc production of specific quality controlled materials Source: Avio Aero... provided that the design or re-engineering processes are consistent with the potential of additive technologies (THINK ADDITIVE)

Rapid Tooling (RT): tools for prototypes and components manufacturing Direct Digital Manufacturing (DDM): manufacturing

47 Applications Rapid Prototyping (RP): prototypes (es. automotive) Reduces Time to market Eliminates the possibility of design errors Provides useful marketing advantages Rapid Tooling (RT): tools for prototypes and components manufacturing Direct Digital Manufacturing (DDM): manufacturing of products (i.e. biomedical, aerospace, orthodontics, motorsport) Small numbers Maximum optimization of geometry and weight Maximum customization possibilities (custom-made products) Source: EOS

48 Additive Manufacturing Renault Trucks Engine Source: Renault

49 Conclusions

50 Conclusions Industry 4.0 introduced the Cyber Physical System (CPS) concept which enabled the digitalization of the manufacturing The digitalization process is based on the Smart Manufacturing Technologies (SMTs): Industrial iot Big Data Digital Manufacturing Advanced HMI Advanced Automation Additive Manufacturing SMTs represent a unique opportunity to innovate products, processes and business models and to face the new challenges of the market

51 Conclusions SMTs are continuously and rapidly evolving Simulation plays a central role. The integration of all the simulation processes across the entire life cycle of the product allows to virtualize all the development and testing phases introduce the Digital Twin concept Companies «must» Identify the opportunities arising from SMTs Define an action plan Act quickly!

52 Thanks for your attention crit-research.it Michele Frascaroli Technical Director CRIT Srl

Industry 4.0: the new challenge for the Italian textile machinery industry

Industry 4.0: the new challenge for the Italian textile machinery industry Executive Summary June 2017 by Contacts: Economics & Press Office Ph: +39 02 4693611 email: economics-press@acimit.it ACIMIT has