Burhani Engineers

What role would AI play in product design optimisation for mechanical components

What role would AI play in product design optimisation for mechanical components?

The manufacturing industry has been going through rapid changes, and mechanical engineers are under constant pressure to design high-quality products faster and in a more cost-effective manner. Traditional design methods take time, require many resources and still leave room for errors. That is where AI steps in. It is transforming the design process and offering fresh ways to boost efficiency and precision.

Generative design for innovation

AI‑powered generative design allows engineers to define specific parameters—such as material type, weight limits and load‑bearing capacity—and let the AI generate multiple design alternatives. Many of these AI‑created designs turn out more efficient and innovative than anything a person might draw manually.

Mechanical engineers in Kenya are using generative design to tackle complex challenges. For example, they are finding ways to reduce the weight of components without compromising strength—ideal for industries like automotive, aerospace or construction. This process speeds up the design phase and delivers superior components in record time.

Faster simulation and testing

Traditional simulation methods rely on engineers running tests and analysing results. That takes time. AI changes that. It can run simulations in a fraction of the usual time and under a range of realistic conditions—such as extreme temperatures or varying pressure levels.

That breakthrough makes a real difference to Kenyan companies. They can make quicker decisions and skip some physical prototypes. As a result, products reach the market faster, giving firms a competitive edge.

Intelligent material selection

Choosing the correct material for a mechanical part can make or break a product. AI simplifies this task by scanning vast databases of material properties and matching them against design requirements.

That brings two key advantages. First, engineers can choose materials that are cost‑effective yet durable. Second, they can account for local factors—such as material availability or cost fluctuations—making designs more effective in Kenya’s economic context.

Automated design adjustments

It is common for a design to fall short of performance targets during testing. With AI, engineers do not have to go back to square one. The system can suggest or even apply tweaks to fix issues—whether it concerns structural stress or unwanted vibration.

That flexibility proves invaluable in dynamic industries like manufacturing and construction, where requirement changes are frequent. It helps to avoid costly delays by swiftly adapting designs to new data or feedback.

Predictive maintenance and reliability

AI does not just optimise designs. It can also forecast when a component might fail during service. Engineers can then design parts with predictive maintenance in mind, embedding sensors or selecting materials that reveal wear and tear before failure occurs.

For Kenyan companies that use heavy machinery or work on large infrastructure projects, this capability helps reduce downtime, plan maintenance and avoid expensive breakdowns.

Why does this matter for mechanical engineering firms in Kenya? 

Accountants and business leaders have noticed that AI brings real advantages. Here is how:

More efficiency and speed

Tasks that traditionally took days or weeks—such as  material selection, detailed simulation or iterative tweaks—can now be completed in minutes or hours. This frees up engineers to focus on more creative or complex problems.

Significant cost‑savings

AI helps minimise material waste, identify more affordable but effective materials and streamline manufacturing processes. These efficiencies reduce both in‑house production costs and final prices charged to clients.

Superior product quality

AI‑generated designs often outperform their manually created counterparts in terms of strength‑to‑weight ratio, durability and reliability. Clients receive components that deliver better performance and longer service life.

A competitive edge

Adopting AI early on enables firms to launch innovative, high‑performance products far more quickly. Companies slow to embrace AI struggle to catch up.

At Burhani Engineers Ltd., one of the top mechanical engineering companies in Kenya, we remain hopeful about the transformative role AI will continue to play in mechanical design. We are keenly observing emerging AI trends and actively exploring how they can enhance our design capabilities, improve efficiency and deliver even greater value to our clients.