Блог
Инженерни прозрения, технически анализи и индустриални перспективи от екипа на NeuroCAD.
200-Part Assemblies Grind in SolidWorks. NeuroCAD Treats Update Latency as a Contract.
Onshape made assembly-rebuild latency observable. The next step is making it contractual: a published SLA for incremental update with a CI regression alarm. Here is what that looks like.
Audit Every Ply. AS9102 Says You Have To. CAD Says Good Luck.
AS9102 demands per-ply traceability for aerospace composites. Today that lives in spreadsheets next to the CAD file. NeuroCAD makes it a graph edge — one per ply, machine-checkable end to end.
Reproducible Builds Solved 'Works on My Machine'. CAD Never Got the Memo. Until Now.
Software learned to build byte-identical binaries across machines and years. CAD still treats 'the file opens and looks right' as good enough. NeuroCAD ships a 12-point Replay Acceptance Contract.
Toolpath Gouges: Every CAM Vendor Claims to Detect Them. FreeCAD's Bug Tracker Says Otherwise.
FreeCAD #22178 is the public evidence that open-source CAM gouge detection misses things. Here is how SDF makes the algorithm short, exact, and testable — with the test PR #25753 lacked.
Why Aerospace Tech Pubs Still Place Callouts by Hand — and What an Algorithmic Contract Looks Like
S1000D tells you what a callout is. ATA iSpec 2200 tells you what code it carries. Neither tells you where on the page it should sit. Here is what a placement contract looks like.
When You Change One Parameter, Why Does CAD Recompute Everything?
Feature-tree rebuild lag is a solvable problem. Incremental computation has had the answer for decades. Here is how NeuroCAD's Distributed Constraint Graph touches only what changed — and how we plan to benchmark it.
Filling the N-Sided Hole: Why Two Kernels Disagree, and How We Make Them Shake Hands
Closing a 5-sided patch is a 30-year B-rep research problem. SDF smooth-blend solves it in one operator. But how do you know the two answers agree? Here is the contract.
What Happens When You Change a Parameter in CAD? Four Graphs, One Atomic Commit
When a parameter changes, geometry, identity, and evidence all shift at once. Most CAD only tracks one. NeuroCAD tracks four, atomically — like Git, but for engineering truth.
An Open Conformance Suite for Pipe, Cable, and HVAC Routing
ISO 15649, AS50881, ASHRAE — every routing standard is cited by every vendor and tested by no one in public. NeuroCAD proposes a 10-test open conformance suite to close the gap.
Cam-Follower Contact in SolidWorks Is a Tessellated Approximation. NeuroCAD Computes It in Closed Form.
If your camshaft simulation reports follower acceleration with a phantom 12 g spike at the rise-dwell transition, the spike is almost certainly not in your motion law. It is in the mesh.
Sheet-Metal Unfolding from Signed Distance Fields
Every commercial sheet-metal unfold algorithm walks a B-rep face graph. SDF kernels have no graph to walk. Here is how NeuroCAD plans to unfold anyway — using geodesics on the zero-isosurface.
Should-Cost Software Needs Feature Recognition. Every Published Algorithm Assumes B-Rep. SDF Needs a Different Approach.
Procurement engineers quote parts by walking a B-rep face graph. NeuroCAD has no face graph. Here is how to recognise machining features directly from a signed distance field.
Why Two CAD Kernels Should Agree on the Same Sketch — and How NeuroCAD Verifies It
Closed 2D profiles look trivial, but the gap between NURBS and SDF representations is where modern CAD silently diverges. Here is how NeuroCAD pins the agreement as a measurable contract.
Sculpting and CAD Surfacing Were Never Supposed to Talk. NeuroCAD Measures Cashman's 2009 Bridge.
Cashman wrote the bridge between subdivision surfaces and NURBS in 2009. Sixteen years later, NeuroCAD is the first CAD platform to wire it as a release-gating regression test.
Mold Design Has 30 Years of Literature, Zero Open-Source Unit Tests. NeuroCAD Changes That.
Undercut detection, parting-line generation, draft analysis: textbook material in any tooling shop, missing from every open-source CAD as a tested toolchain. Here is the gap and the plan.
Suppress a Part in Your Assembly. Watch Your 4-Bar Linkage Break. SDF Lets You Suppress Safely.
The mechanism designer's variant of CAD's oldest scar: hide a connecting rod, the joint reference dies, the kinematic loop falls apart. NeuroCAD binds joints to feature-graph IDs, not topology.
The Topological Naming Problem Is a 30-Year Scar on CAD. SDF Cuts It Out by Construction.
Every CAD user has hit it: hide a feature, the model breaks. We show why this happens, why it cannot be fully fixed inside a B-rep kernel, and why NeuroCAD's SDF makes the failure unrepresentable.
EU-Based CAD: GDPR and Data Sovereignty
Why European companies need EU-based CAD platforms. GDPR implications for engineering data, client-side computation, and EU procurement requirements.
Field-Driven Shape Evolution in CAD
How PDE operators, curvature flow, and reaction-diffusion systems enable physics-based shape evolution in CAD. Bounded evolution and exact-zone protection.
The Future of CAD Is Computed, Not Drawn
The historical arc of CAD, B-rep limitations, five converging trends, and why geometry-as-code will define the next era of engineering design tools.
NeuroCAD: The Next-Generation CAD Platform Built on Mathematics, Not Legacy
From SDF geometry to deterministic replay — a comprehensive overview of NeuroCAD capabilities and why its mathematical foundation matters for modern engineering.
NeuroFEM: The AI That Invents Optimal Geometry
How NeuroFEM's foundation model reverses physics gradients into SDF geometry, autonomously generates training data, and designs parts humans cannot imagine.
Designing Lightweight Auto Parts with CAD
How modern CAD tools enable lightweight automotive part design. EV weight targets, topology optimization, lattice crash structures, NVH, and DfAM strategies.
Real-Time Collaboration in CAD: CRDT Guide
How CRDTs enable real-time multi-user CAD collaboration. File locking problems, CRDT vs OT, geometric merging challenges, and deterministic resolution.
CAD for Additive Manufacturing: Complete Guide
Comprehensive guide to CAD for additive manufacturing. DfAM principles, material selection, toolchain comparison, and end-to-end AM workflow for engineers.
Gyroid Infill: Strongest Lattice for AM
Why gyroid TPMS lattice structures dominate additive manufacturing. Mechanical properties, design parameters, graded gyroids, and practical engineering guidance.
Acoustic Metamaterials: Designing Silence
Learn how acoustic metamaterials achieve extraordinary sound control through engineered microstructure. Bandgaps, unit cell design, and CAD workflows.
STEP Export from Implicit Geometry: How?
The engineering challenge of converting implicit SDF geometry to STEP format. Conversion pipeline, quality metrics, and semantic preservation strategies.
NeuroCAD vs Onshape: Browser CAD Battle
Compare NeuroCAD and Onshape browser-based CAD platforms. Architecture differences, feature analysis, and which approach wins for modern engineering.
From Sketch to 3D: Parametric Modeling 101
A beginner's guide to parametric modeling: sketches, constraints, dimensions, features, and how a deterministic solver turns 2D drawings into 3D parts.
Designing Heat Exchangers with Lattices
How TPMS lattice structures maximize heat exchanger performance: design parameters, multi-scale approach, materials, and implicit geometry workflows.
WebGPU for CAD: Real GPU in the Browser
How WebGPU brings native GPU compute shaders to the browser, enabling real-time CAD visualization and field evaluation without plugins.
Topology Optimization for Engineers: Guide
A comprehensive guide to topology optimization: mathematical foundations, input requirements, software comparison, and a step-by-step engineering workflow.
Manufacturing Governance in CAD Design
How real-time manufacturing governance in CAD prevents DFM violations at design time instead of catching them after the fact in analysis.
NeuroCAD vs nTop: Implicit CAD Showdown
An honest comparison of NeuroCAD and nTopology (nTop): architecture, lattice design, material fields, sketching, and deployment models.
Why Rust Powers Our CAD Kernel
Why NeuroCAD chose Rust over C++ for its CAD kernel: memory safety, fearless concurrency, WASM compilation, and a 13-crate modular architecture.
Medical Implant Design with Implicit CAD
How implicit CAD enables patient-specific medical implants with trabecular structures, CT/MRI integration, and regulatory traceability.
Conformal Cooling Channels: Design Guide
A practical guide to designing conformal cooling channels for injection molds, covering topology, thermal benefits, and implicit geometry advantages.
E-Graphs: Optimizing CAD Under the Hood
Learn how e-graphs and equality saturation optimize CAD geometry expressions for faster evaluation, smaller models, and deterministic results.
NeuroCAD vs Fusion 360: Honest Comparison
A balanced comparison of NeuroCAD and Fusion 360 — architecture differences, feature strengths, cloud models, pricing, and a decision framework for engineers.
Multi-Material 3D Printing Design Guide
A practical guide to designing for multi-material 3D printing — material fields, per-voxel assignment, PolyJet and MJF processes, and design workflows.
Designing Aerospace Parts with Implicit CAD
How implicit geometry and SDF-based CAD enable lightweight aerospace components — lattice structures, thermal management, multi-scale design, and certification.
Differentiable CAD: Optimization by Design
How differentiable geometry enables gradient-based shape optimization in CAD — automatic differentiation, design graphs, and engineering applications.
NeuroCAD vs SolidWorks: Feature Comparison
An honest feature-by-feature comparison of NeuroCAD and SolidWorks — architecture, strengths, pricing, and which tool fits your engineering workflow.
Lattice Structures for 3D Printing
A comprehensive guide to lattice structures in additive manufacturing — types, engineering properties, design methods, and real-world industry applications.
Browser-Based CAD: No Install Required
How WebAssembly and WebGPU enable full-featured CAD in the browser with zero installation, and why this changes engineering tool accessibility.
SDF vs B-rep: Which Geometry Wins?
A technical comparison of Signed Distance Fields and Boundary Representation in CAD — strengths, weaknesses, performance, and when to use each approach.
What Is Implicit Geometry in CAD?
Learn how implicit geometry and signed distance fields (SDF) work in CAD, how they compare to B-rep, and why they matter for modern engineering design.