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Industry Trends

Top 6 Trends in Product Design and Engineering in 2023

October 6, 2023
•
4 minutes
Top 6 Trends in Product Design and Engineering in 2023

Innovations are rapidly reshaping the way we create and develop products. From artificial intelligence (AI) to the Internet of Things (IoT), new trends in product design and engineering are redefining what we can create, build, and use.

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In this article, we explore the top 6 trends in product design and engineering today.

Trend #1: Digital Twin Technology

Digital twin technology is like having a mirror image of a physical object in the digital realm.

And this technology allows engineers to monitor, analyze, and optimize the performance of products in real-time. For instance, in manufacturing, it can help detect anomalies, predict maintenance needs, and enhance overall efficiency. In brief, it provides a bridge between the physical and digital worlds, offering invaluable insights that lead to smarter, more efficient designs.

Combining Digital Twin technology with Artificial Intelligence (AI) is the latest frontier. AI algorithms can analyze the vast amounts of data generated by digital twins to provide predictive insights, enabling proactive maintenance and performance optimization.

Moreover, instead of isolated digital twins for individual products, there's a growing trend toward creating entire ecosystems of interconnected digital twins. This allows businesses to simulate and optimize complex systems, such as smart cities or manufacturing plants, as a whole.

Trend #2: Automation and Robotics

Robotics and automation are key drivers of the fourth industrial revolution, with a wide range of automated solutions available for product design and engineering.

Robotics can be used to automate processes such as 3D printing, CNC machining, and assembly. This reduces manual labor costs while improving accuracy and efficiency. In addition, automation can be used to test products and components, ensuring high levels of quality assurance.

Moreover, AI-driven robotics are now being used for product development. This includes using robots to generate CAD models based on input parameters and objectives. It also involves using robots to process large datasets for training deep learning algorithms.

Trend #3: Artificial Intelligence (AI) in Design

AI's ability to process vast amounts of data and make predictions based on patterns is a game-changer.

In product design, AI can assist in concept generation and optimization. It can analyze market trends, customer feedback, and historical data to recommend design changes that are likely to be successful. This not only speeds up the design process but also improves the chances of creating products that resonate with users.

AI-powered simulations are another powerful tool in the engineer's toolkit. These simulations can test different design variations virtually, saving time and resources.

How? well, simulation workflows can be complex, with numerous data points, methods, and systems to navigate. Making the wrong choices can jeopardize an entire experiment, wasting time and money.

AI-enriched Simulation simplifies the process by optimizing candidate searches and determining the most efficient simulation methods. With time, AI acceleration engine automates and streamlines workflows, making the process easier for researchers.

Trend #4: Internet of Things (IoT) Integration

IoT integration allows products to collect real-time data about their usage and environment. This data can be invaluable in improving product design. For example, in healthcare, IoT-enabled medical devices can transmit patient data to doctors in real time, allowing for more timely interventions.

IoT also opens up new possibilities for customization. Smart homes, for instance, can adjust lighting, temperature, and security settings based on user preferences and habits. This level of personalization enhances user experience and satisfaction.

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2 key aspects to look at when it comes to IoT Integration are:

  • Edge Computing: Instead of sending all data to the cloud, edge computing processes data locally on the IoT device itself. This reduces latency and bandwidth requirements, making real-time decisions faster.
  • 5G Connectivity: The rollout of 5G networks is expanding the capabilities of IoT by providing faster and more reliable connections, enabling real-time applications like augmented reality and remote surgery.

Read more here: The Design of Things Building in IoT Connectivity The Internet of Things in product design: A research collaboration between Deloitte and IBM

Trend #5: Augmented and Virtual Reality (AR/VR) in Prototyping

Augmented Reality (AR) and Virtual Reality (VR) are no longer just for gaming and entertainment; they're now integral to product design and engineering.

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Think of AR/VR as the ultimate "try before you buy" experience.

In product design, AR and VR offer immersive prototyping. Engineers and designers can interact with a virtual representation of their product, making it easier to identify design flaws and make improvements. For example, in automotive design, AR/VR can simulate how different car components fit together and how the driver experiences the vehicle.[e.g. flyingshapes, Gravitysketch]

These technologies are also transforming user testing. Instead of relying solely on surveys and feedback, designers can create VR simulations for users to interact with. This provides a more realistic and insightful understanding of how users will engage with the product.

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Latest Trends in AR/VR Prototyping:

  • Mixed Reality (MR): MR combines elements of both AR and VR, allowing virtual objects to interact with the real world. This trend is particularly valuable in industrial design and training scenarios.
  • Remote Collaboration: AR/VR technologies are being used to facilitate remote collaboration and communication among design teams. Multiple users can interact with and discuss virtual prototypes in real-time, regardless of their physical locations.

Trend #6: User-Centered Design and Design Thinking

Last but not least, user-centered design and design thinking are not new concepts, but they are gaining renewed attention in product design and engineering.

Design thinking is an iterative process that prioritizes empathy, problem-solving, and user feedback. It encourages designers and engineers to step into the shoes of the end-users and think from their perspective. This approach fosters innovation by addressing real user pain points.

Products that truly meet user needs are more likely to succeed. This trend encourages collaboration across disciplines, bringing together engineers, designers, and end-users to co-create products that excel in both form and function.

Exploring the Possibilities in Product Design & Engineering

Leveraging all these new and advanced technologies in product design and engineering can open up exciting possibilities. Ultimately, designers and engineers have access to powerful tools that improve their decision-making and help them create better products faster. At the same time, they now have unprecedented access to user feedback. This enables them to create tailored solutions that truly connect with customers and meet their needs.

These trends and technologies will continue to evolve in the years ahead, so it's important to stay up-to-date on the latest advancements. Of course, no matter how advanced the technologies become, we should never forget the basics: understanding user needs, designing with empathy, and delivering quality products that meet customer expectations.

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