Automated nut loading into the machine tool—plus complete teaching support!

Process Overview

Philliper had been handling the process of inserting nuts into the machine tool manually. Due to the repetitive nature of the work and insufficient precision, this led to reduced productivity and quality issues. To resolve this, they implemented an automation solution using four Hyundai robots and two Doosan robots.

Project Background and Objectives

Background
Philliper was experiencing work inefficiency and inconsistent quality in the existing nut-loading operation due to a manual process.

Key issues

Speed loss and quality variation occurring during manual operations
Increased operator fatigue and reduced productivity
Operator burden caused by repetitive tasks in the nut insertion process

Objectives

Improve production efficiency by automating repetitive tasks through robot deployment
Secure consistent quality and reduce defect rates through accurate insertion
Improve the work environment by reducing operator fatigue and strengthening safety

Components

Robot	Hyundai Robotics (HH020-03) Doosan Robotics (H2017)

Workflow

STEP 1.	Pick nuts from the feeder
STEP 2.	Insert nuts into the product hole inside the machine tool
STEP 3.	After receiving the machine-complete signal, unload the product
STEP 4.	Load the product onto the conveyor
STEP 5.	Repeat the same sequence with alternating operation.

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Key Features

Maximized Efficiency

Using robot OLP, pre-validated programs can be uploaded immediately, reducing on-site setup and commissioning time.
Two robots are deployed on a single process for parallel operation, increasing cycle speed and throughput.

Improved Quality

Accurate insertion reduces defect rates.
A vision system is used for final quality inspection.

Flexible Production Environment

Integration of the robot and feeder supports handling multiple nut sizes.
With dedicated robot teaching support, the job can be completed in less time than expected.

Implementation Results

ROI Period
Key Metrics	Productivity improvement: Parallel operation increased process speed by 20%, and continuous robot operation increased output volume. Quality consistency: Precision robot operation reduced defect rates by 15%, and integration with a vision system improved inspection accuracy. Improved work environment: Reduced operator fatigue and injury risk, and helped prevent musculoskeletal disorders caused by repetitive tasks. Lower operating cost: Higher efficiency compared to manual labor reduced overall operating cost. Faster project completion: By using pre-simulation and robot OLP, the project timeline was shortened (completed 20% faster than originally estimated).
Client Feedback	The customer stated, “After introducing robots, nut insertion inside the machine tool is now performed faster and more accurately. As a result, we achieved improvements in both process speed and quality. In addition, Marosol’s specialists provided direct teaching support, making on-site deployment very smooth. We were especially impressed with the thorough upfront preparation using OLP.”

※ The content provided by Marosol is protected under U.S. and Canadian copyright and intellectual property laws. Unauthorized reproduction, distribution, or use of this content is strictly prohibited.

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The content provided by Marosol is protected under U.S. and Canadian copyright and intellectual property laws. Unauthorized reproduction, distribution, or use of this content is strictly prohibited.

Hyundai Robotics and Doosan Robotics machine tending automates feeder-based nut picking and in-machine nut insertion with OLP, conveyor handling, and vision inspection to reduce defects and labor while improving throughput.

※ The content provided by Marosol is protected under U.S. and Canadian copyright and intellectual property laws. Unauthorized reproduction, distribution, or use of this content is strictly prohibited.

Process Overview

Project Background and Objectives

BackgroundPhilliper was experiencing work inefficiency and inconsistent quality in the existing nut-loading operation due to a manual process.

Objectives

Components

Workflow

Key Features

Maximized Efficiency

Improved Quality

Flexible Production Environment

Implementation Results

Automated nut loading into the machine tool—plus complete teaching support!

Recommended Use Cases

Background
Philliper was experiencing work inefficiency and inconsistent quality in the existing nut-loading operation due to a manual process.