Simulate & Validate

July 15 2026

Milk Cream Separators

Ranjan R Case Study, Food Processing Machinery, Simulate & Validate

Milk Cream Separators

20%

Achieved optimized flow distribution throughout the separator

18%

Improved process stability under continuous operation

BACKGROUND

Performance validation of an industrial milk cream separator through CFD and centrifugal flow simulation to optimize separation efficiency and operational performance.

CHALLENGE

Understanding milk flow behavior inside the separator bowl
Achieving efficient cream and skim milk separation at high rotor speeds
Identifying turbulence and recirculation zones
Optimizing velocity distribution across the disc stack region
Minimizing pressure losses within the separation chamber
Validating separator performance before physical prototyping
Ensuring stable flow conditions under varying throughput rates

APPROACH

Developed CFD model of the complete separator flow path
Simulated centrifugal flow behavior inside rotating bowl assembly
Analyzed velocity distribution across separation zones
Evaluated pressure contours and pressure drop characteristics
Studied cream and skim milk flow trajectories
Investigated turbulence regions affecting separation efficiency
Performed multiple simulation iterations at different rotor speeds
Validated flow performance under various operating conditions

Achieved optimized flow distribution throughout the separator

Reduced turbulence and dead flow regions

Improved separation performance through flow path optimization

Minimized pressure losses across the system

Identified optimal operating RPM range

Enhanced cream recovery potential

Improved process stability under continuous operation

Successfully validated separator performance through simulation

July 15 2026

Force Analysis for tighter Air Seal Packed Lead to a bottle

Ranjan R Case Study, Food Processing Machinery, Simulate & Validate

Force Analysis for tighter Air Seal Packed Lead to a bottle

98.3%

Reduced leakage

26.3%

Improvement seal performance

BACKGROUND

Air seal (induction/pressure seal liner) is used under the bottle cap to prevent leakage, contamination and maintain product shelf life.

CHALLENGE

Insufficient tightening leading to improper liner compression causing leakage and loss of product integrity.
Excessive tightening force that can damage the liner, deform the cap threads or crack the bottle finish.
Variation in torque application leading to inconsistent sealing performance
Maintaining optimal contact pressure on the liner for the long term seal performance.
Failures in the field leading to returns, brand damage and increased costs.

APPROACH

3D CAD Modeling
Material Properties
Boundary Conditions
Simulation Method
Study Parameters
Validation

98.3% Reduced Leakage Rate

34.7% Improved Contact Pressure Uniformity

32% Reduced Bottle Neck Stress

26.3% Improved Overall Seal Performance

July 15 2026

CAE & CFD Analysis for Grain Storage

Ranjan R Case Study, Food Processing Machinery, Simulate & Validate

CAE & CFD Analysis for Grain Storage

30%

Reduction in maintenance risk

25%

Improvement structural safety

BACKGROUND

Grain silos and storage bins are critical for preserving grain quality and ensuring structural safety.

CHALLENGE

Structural Safety
Material Stress & Buckling
Grain Flow & Pressure
Temperature & Moisture Control
Aeration Efficiency
Design Optimization
Load Cases Considered
Design Optimization

APPROACH

CAE ANALYSIS (Structural)
- 3D CAD Modeling
- Finite Element Analysis
- Load Cases Considered
- Design Optimization
CFD ANALYSIS(Aeration & Thermal)
- CFD Modeling
- Airflow & Heat Transfer Analysis
- Optimization

25% Improvement in Overall Structural Safety

15% Reduction in Construction Cost

27%Improved Grain Quality & Storage Life

22% Energy Savings in Aeration System

30% Reduction in Maintenance Risk

July 13 2026

Thermal Analysis of Chiller Storage used for Transport

Ranjan R Case Study, Food Processing Machinery, Simulate & Validate

Thermal Analysis of Chiller Storage used for Transport

30.6%

Improvement cooling load

29.6%

Improvement daily energy

BACKGROUND

Chiller storage containers are used to transport temperature-sensitive products such as dairy, meat, fruits, vegetables and pharmaceuticals.

CHALLENGE

Hot spots and cold spots inside the compartment, leading to product deterioration
Cooling efficiency affected due to heat transfer through walls, roof, floor, doors and infiltration
Frequent door openings during loading/unloading leading to temperature rise
High ambient temperature and solar radiation, increasing the cooling load
Inefficient insulation and cooling system resulting in higher energy usage
Need to maintain required temperature range as per regulatory standards

APPROACH

Developed detailed 3D model of the chiller storage container including insulation, doors, vents, evaporator and products
Defined thermal properties of wall panels, insulation (PUF), floor, ceiling and internal loads.
Set boundary conditions for ambient temperature, solar load and infiltration.
Performed transient CFD analysis to study airflow, heat transfer and temperature distribution inside the compartment.
CFD simulation scenarios analyzed
• Steady state (constant ambient)
• Door opening (frequent cycles)
• High ambient conditions Different loading conditions
Optimized insulation thickness, door seal, airflow distribution and evaporator placement to achieve uniform cooling and lower energy consumption.
Simulation results validated with actual test data to ensure accuracy and reliability.

Uniform temperature maintained within the desired range of 0°C to 4°C.

Proper airflow circulation ensured with optimized evaporator placement and vent design.

29.6% Improvement Daily Energy Use (kWh)

28.2% Improvement Peak Power (KW)

30.6% Improvement Cooling Load (KW)

July 13 2026

Thermal Analysis of Bread Making Machine

Ranjan R Case Study, Food Processing Machinery, Simulate & Validate

Thermal Analysis of Bread Making Machine

22%

Reduced energy consumption

18%

Reduced baking time

BACKGROUND

Thermal performance of the baking oven is critical to ensure uniform baking, proper crust formation, soft texture inside and energy efficiency.

CHALLENGE

Non-uniform temperature distribution inside the baking chamber causing inconsistent baking
High energy consumption due to inefficient heat utilization and heat loss
Hot spots & over-baking at some locations while under-baking at others
Longer baking time affecting productivity
Need for optimal airflow and proper insulation to maintain consistent temperature and reduce losses

APPROACH

Developed the oven’s 3D CAD model
Performed CFD analysis for airflow and heat transfer
Conducted thermal analysis for steady state and transient conditions
Evaluated different heater positions, airflow rates and insulation thickness
Optimized design based on temperature uniformity and energy efficiency

Simulate & Validate

20%

18%

BACKGROUND

CHALLENGE

APPROACH

Achieved optimized flow distribution throughout the separator

Reduced turbulence and dead flow regions

Improved separation performance through flow path optimization

Minimized pressure losses across the system

Identified optimal operating RPM range

Enhanced cream recovery potential

Improved process stability under continuous operation

Successfully validated separator performance through simulation

98.3%

26.3%

BACKGROUND

CHALLENGE

APPROACH

98.3% Reduced Leakage Rate

34.7% Improved Contact Pressure Uniformity

32% Reduced Bottle Neck Stress

26.3% Improved Overall Seal Performance

30%

25%

BACKGROUND

CHALLENGE

APPROACH

25% Improvement in Overall Structural Safety

15% Reduction in Construction Cost

27%Improved Grain Quality & Storage Life

22% Energy Savings in Aeration System

30% Reduction in Maintenance Risk

30.6%

29.6%

BACKGROUND

CHALLENGE

APPROACH

Uniform temperature maintained within the desired range of 0°C to 4°C.

Proper airflow circulation ensured with optimized evaporator placement and vent design.

29.6% Improvement Daily Energy Use (kWh)

28.2% Improvement Peak Power (KW)

30.6% Improvement Cooling Load (KW)

22%

18%

BACKGROUND

CHALLENGE

APPROACH

Uniform baking achieved across all zones

22% reduction in energy consumption

18% reduction in baking time

Improved machine reliability & longer component life

Consistent product quality in mass production