Mastercam 网络研讨会演示 up2parts 的 AI 报价与 CAM 自动化

Manufacturers are constantly challenged to quote jobs faster, improve accuracy, and make better use of their skilled programming resources. During our recent webinar, Chad Chmura, Global Manager of Manufacturing Services, demonstrated how up2parts for Mastercam is helping shops address these challenges through AI-driven automation, cloud-based collaboration, and streamlined workflows.

The Challenge: Quoting Often Depends on Your Busiest Experts

For many shops, generating an accurate quote requires involvement from experienced programmers or engineers who understand the manufacturing process, tooling requirements, machine capabilities, and estimated cycle times. This can create bottlenecks, especially when those same experts are responsible for keeping production moving.

Additional challenges discussed included:

Time-consuming quotation processes that can take hours to complete

Difficulty locating similar historical jobs and pricing data

Disconnected file storage and collaboration workflows

Limited access to enterprise-level manufacturing software for small and mid-sized businesses

The need for consistent, data-driven quoting accuracy

What Is up2parts?

up2parts is an AI-powered manufacturing platform that integrates with Mastercam to help automate quoting, part analysis, project management, and CAM preparation. The solution combines cloud-based data management with AI-driven feature recognition and manufacturing intelligence to accelerate decision-making across the shop.

The platform is built around three primary components:

1. Cockpit

The foundation of up2parts, Cockpit, centralizes part files and project data in a secure cloud environment while providing:

AI-powered similar-part search

Feature recognition and analysis

Blueprint and PMI integration

Centralized file management

Feasibility checks and manufacturability insights

2. Calculation

Building on the data collected in Cockpit, Calculation generates detailed work plans and cost estimates by considering:

Machine resources

Tooling

Material requirements

Programming time

Inspection and deburring operations

Shop-specific processes and labor inputs

The result is a comprehensive quote that reflects the realities of an individual shop floor rather than relying on generic estimating methods.

3. AutoCAM

The AutoCAM module extends automation even further by using gathered manufacturing data to generate initial machining strategies and toolpaths that can be imported directly into Mastercam.

AI-Powered Analysis Goes Beyond the CAD Model

One of the most compelling demonstrations focused on how up2parts combines 3D model data with blueprint information.

After uploading a STEP file and PDF drawing, the platform automatically:

Detects manufacturing features such as pockets, holes, and threads

Associates blueprint dimensions with CAD geometry

Identifies tolerances and machining requirements

Flags manufacturability concerns

Captures additional PMI data that impacts quoting accuracy

This combination of geometry and engineering intent helps produce more accurate estimates while reducing manual review effort.

Democratizing the Quoting Process

A major theme throughout the webinar was enabling more team members to participate in the quoting process.

Instead of relying solely on highly skilled Mastercam programmers, up2parts allows less experienced personnel to upload parts, review AI-generated analysis, and initiate quote creation. Skilled programmers can then stay focused on production-critical programming tasks rather than spending their time preparing estimates.

Faster Quotes with Greater Consistency

Using shop-specific data such as machines, tools, materials, labor rates, and processes, up2parts can generate detailed work plans and cost estimates in just minutes. The system also provides visibility into how estimates are generated by showing the tools, operations, and cycle time assumptions behind the quote.

Rather than serving as a “black box,” the platform gives users the ability to review, adjust, and refine estimates as needed.

From Quote to CAM

Another standout benefit is the ability to leverage quoting data downstream in the manufacturing process.

Once a quote is approved, AutoCAM can create preliminary machining operations using the shop’s configured machines and tooling. Those operations can then be imported directly into Mastercam, providing programmers with a significant head start rather than beginning from a blank model.

While not intended to fully automate complex programming, the technology helps reduce repetitive setup work and streamlines the transition from estimating to manufacturing.

Key Takeaways

AI can significantly reduce the time required to generate manufacturing quotes.

Quoting no longer needs to rely exclusively on highly skilled programming resources.

Combining CAD models, drawings, and PMI improves estimate accuracy.

Similar-part search helps shops capitalize on historical manufacturing knowledge.

Cloud-based project management creates a centralized source of truth for manufacturing data.

AutoCAM helps bridge the gap between quoting and production by generating initial programming data for Mastercam.

As manufacturers continue to face pressure to quote faster and operate more efficiently, solutions like up2parts offer a practical pathway toward greater automation and smarter use of engineering resources. By connecting AI-powered part analysis, quotation generation, and CAM preparation into a single workflow, shops can respond to opportunities more quickly while maintaining the accuracy needed to remain competitive.

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