Energy reduction in thermal processes through DOE-optimised parameters and heat recovery integration.
Product quality consistency achieved through statistically validated process windows and control limits.
Faster time-to-market through simulation-led development reducing physical trial-and-error cycles.
Food & Beverage
Research & Development
Food and beverage R&D spans new product development, process optimisation, and equipment design — all under strict hygiene, safety, and regulatory constraints. EnerTherm Engineering delivers the experimental rigour, thermal simulation, and prototyping expertise to bring your innovations from concept to production line.
R&D Challenges in
Food & Beverage
Product variability, hygiene requirements, and energy-intensive thermal processes drive food industry R&D needs.
Thermal Process Optimisation
Pasteurisation, sterilisation, drying, and cooking processes have multiple interacting parameters affecting product quality, safety, and energy consumption simultaneously.
New Product Development
Novel recipes, textures, and packaging formats require systematic experimentation to optimise formulation and process parameters for consistent quality at scale.
Energy & Sustainability
Rising energy costs and net zero targets demand R&D into heat recovery, process intensification, and alternative heating technologies for thermal processing lines.
Food Safety Compliance
HACCP, BRC, and FSSC 22000 standards require validated process parameters with documented evidence that critical control points are maintained within safe limits.
Our 6-Step
R&D Framework
A systematic R&D methodology from discovery through experimental design, simulation, prototyping, and production-ready validation.
Discovery & Scoping
Collaborate with stakeholders to define research objectives, success criteria, and the technical boundaries of the investigation.
Through structured workshops and technical reviews, we translate business challenges into research questions with quantifiable targets. We identify existing knowledge gaps, review prior art and published literature, and define the experimental or analytical approach that will yield actionable answers within budget and timeline constraints.
Experimental Design
Plan rigorous experiments using statistical methods to maximise information gained per test run while minimising cost and time.
We apply Design of Experiments (DOE) methodology — factorial, fractional factorial, and response surface designs — to systematically explore the design space. Each experiment is planned with randomisation, replication, and blocking strategies that ensure statistically valid conclusions and protect against systematic bias.
Simulation & Modelling
Deploy CFD, FEA, and thermodynamic models to predict performance and narrow the experimental matrix before physical testing.
High-fidelity simulations sweep critical process variables — temperature, pressure, flow rate, geometry — to identify the most promising design candidates. Virtual prototyping typically reduces physical test cycles by 40-60%, saving significant material and time costs while accelerating the path to a validated solution.
Prototyping & Testing
Build and test physical prototypes under controlled conditions, benchmarking real-world results against simulation predictions.
Each prototype undergoes structured test protocols measuring thermal performance, mechanical integrity, and process efficiency across a matrix of operating conditions. Deviations between simulated and measured performance are systematically analysed, feeding directly into targeted design refinements.
Analysis & Optimisation
Consolidate simulation, sensor data, and test observations to validate assumptions and optimise the final design.
Statistical analysis, AI/ML pattern recognition, and response surface methodology are applied to extract actionable insights from the data. Multi-objective optimisation balances competing performance targets — cost vs. efficiency, weight vs. durability — to converge on the best overall solution.
Validation & Scale-Up
Confirm results through confirmation runs, produce production-ready documentation, and support the transition from R&D to industrial deployment.
Final validation ensures performance meets all agreed criteria under realistic operating conditions. We deliver complete technical packages — process specifications, CAD models, control guidelines, and risk assessments — so the solution transitions seamlessly from laboratory or pilot scale to full production.
What You
Receive
Food-grade R&D deliverables supporting product development and process validation.
Feasibility Assessment
Technical and commercial viability analysis for new products or processes, including energy modelling, capital costs, and payback projections.
DOE Process Study
Statistical optimisation of thermal process parameters (temperature, time, flow) with validated operating windows for quality and safety.
Thermal Simulation Model
CFD models of heating, cooling, or drying processes validated against pilot data, predicting performance across seasonal variations.
Pilot Trial Report
Structured pilot-scale testing with product quality analysis, energy measurements, and process capability assessment.
Equipment Specification
Heat exchanger, oven, dryer, or pasteuriser specifications derived from validated simulation and experimental data.
Validation Documentation
Process validation protocol and report supporting HACCP, BRC, or FSSC 22000 requirements with statistical evidence.
Proven Results in
Food & Beverage
Based on R&D projects across bakery, dairy, snacks, beverages, and ready meals manufacturing.
Food & Beverage
R&D FAQ
Common questions about research and development for food and beverage applications.
Yes — DOE identifies exactly which process parameters (oven temperature, belt speed, humidity, ingredient ratios) most affect product quality, then defines the operating windows that deliver consistent results batch after batch.
CFD models predict temperature distributions, airflow patterns, and heat transfer rates inside ovens, dryers, and pasteurisers. This enables virtual optimisation before costly physical trials, reducing development time by 40-60%.
Yes — our process validation documentation is structured to support BRC, FSSC 22000, and HACCP requirements, providing the statistical evidence that critical process parameters are controlled within validated limits.
Energy optimisation is a core focus. Through DOE, heat recovery feasibility assessment, and process simulation, we typically identify 20-35% energy savings in thermal processing lines — often with payback periods under 18 months.
Ready to
Innovate?
Our food industry R&D team delivers DOE optimisation, thermal simulation, and pilot-scale validation for your products and processes.
- Integrated DOE, feasibility, and prototyping
- Food & Beverage-specific R&D methodology
- Simulation-led development with physical validation